- Table View
- List View
Control Synthesis for Semi-Markovian Switching Systems (Studies in Systems, Decision and Control #465)
by Wenhai Qi Guangdeng ZongThe book focuses on control synthesis for semi-Markovian switching systems. By using multiple semi-Markovian Lyapunov function approaches, a basic theoretical framework is formed toward the issue of control synthesis for semi-Markovian switching systems. This is achieved by providing an in-depth study on several major topics such as sliding mode control, finite-time control, quantized control, event-triggered control, synchronization, and fuzzy control for semi-Markovian switching systems. The comprehensive and systematic treatment of semi-Markovian switching systems is one of the major features of the book, which is particularly suitable for readers who are interested to learn control theory and engineering. By reading this book, the reader can obtain the most advanced analysis and design techniques for stochastic switching systems.
Control System Design: An Introduction to State-Space Methods (Dover Books on Electrical Engineering)
by Bernard FriedlandAddressed not only to students but also to professional engineers and scientists, this volume introduces state-space methods for direct applications to control system design, in addition to providing background for reading the periodical literature. Its presentation, therefore, is suitable both for those who require methods for achieving results and those more interested in using results than in proving them.Topics include feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; and shaping the dynamic response. Additional subjects encompass linear observers; compensator design by the separation principle; linear, quadratic optimum control; random processes; and Kalman filters.Concrete examples of how state-space methods can be used to advantage in several representative applications are woven into the fabric of the text and the homework problems. Many of the models are drawn from aerospace and inertial instrumentation; other examples are derived from chemical process control, maritime operations, robotics, and energy systems.
Control Systems Benchmarks (Advances in Industrial Control)
by José M. Maestre Carlos Ocampo-MartinezControl Systems Benchmarks helps control engineers, researchers, and students to evaluate and compare control system performance across a range of critical applications by offering a collection of real-world benchmarks. The book brings together challenges from diverse fields like power grids, robotics, automotive systems, and industrial processes, giving readers practical tools to test their control methods in realistic settings. Organized into two blocks, the book first tackles process control, covering dynamic and large-scale problems such as load-frequency control in power grids and wastewater-treatment-plant automation. The second block explores robotics and vehicles, focusing on areas like fault-tolerant control of quadrotors and lateral stability in electric vehicles. Each benchmark presents complex engineering challenges, allowing readers to experiment with various control approaches. This book is set apart by the consistent structure of its chapters, which enables readers to adapt benchmarks for their own systems easily. Each chapter includes: a brief overview of the benchmark, highlighting its significance and technical hurdles; a detailed problem description, including engineering goals and constraints; experimental setup, performance metrics, and data collection methods; downloadable materials and instructions for running simulations or accessing physical platforms; and a discussion of existing solutions, case studies, and open challenges to inspire further research. Whether you're a practitioner, an academic researcher, or a student eager to deepen your understanding of control systems, Control Systems Benchmarks offers practical insights and valuable resources to advance your work.
Control Systems: An Introduction
by Dr. D. SundararajanThis textbook is designed for an introductory, one-semester course in Control Systems for undergraduates and graduates in various engineering departments, such as electrical, mechanical, aerospace, and civil. It is written to be concise, clear, and yet comprehensive to make it easier for the students to learn this important subject with high mathematical complexity. The author emphasizes the physical simulation of systems, making it easier for readers to understand system behavior. The popular MATLAB® software package is used for programming and simulation. Every new concept is explained with figures and examples for a clear understanding. The simple and clear style of presentation, along with comprehensive coverage, enables students to obtain a solid foundation in the subject and for use in practical applications.
Control Theory Tutorial: Basic Concepts Illustrated by Software Examples (SpringerBriefs in Applied Sciences and Technology)
by Steven A. FrankThis open access Brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches.
Control Theory and Inverse Problems: The 2023 Workshop in Monastir, Tunisia (Trends in Mathematics)
by Kaïs Ammari Islam Boussaada Chaker JammaziThis volume presents a timely overview of control theory and inverse problems, and highlights recent advances in these active research areas. The chapters are based on talks given at the spring school "Control Theory & Inverse Problems” held in Monastir, Tunisia in May 2023. In addition to providing a snapshot of these two areas, chapters also highlight breakthroughs on more specific topics, such as: Control of hyperbolic systems The Helffer-Nier Conjecture Rapid stabilization of the discretized Vlasov system Exponential stability of a delayed thermoelastic system Control Theory and Inverse Problems will be a valuable resource for both established researchers as well as more junior members of the community.
Control Theory in Rheology: An Introduction to Practical Applications
by Tommi BorgThis book bridges the gap between theoretical rheology and practical industry applications by introducing Control Theory (CT) and the linear Unified Model. This approach enables the modelling and analysis of various viscoelastic flows as well as polymer and macromolecular structures. In practical engineering, the design of machinery and equipment for polymers often relies on handbooks, respective textbooks, and numerous CAD-aided software tools based on empirical formulas. This book presents many useful viscoelastic constitutive equations for analysing and model shear and complex flows, relaxation modulus and spectrum, elongation, transient viscosity, and for computing the Molecular Weight Distribution (MWD) from viscoelastic measurements. The book adopts a counterintuitive approach, starting afresh and proceeding chronologically from steady-state viscosity and other flows relevant to practical engineering to the theoretical formulas of relaxation phenomena. It simplifies unnecessary complexity while still drawing on the well-documented motions of molecular chains. Furthermore, the book offers deeper insights into the background of power-law theories and the Cox-Merz rule, supplying new formulas for the relaxation modulus, spectrum, and various modules through the application of unified formulas. Professionals and scholars alike will find it a handy reference tool.
Control and Filtering for Semi-Markovian Jump Systems (Studies in Systems, Decision and Control #81)
by Peng Shi Ligang Wu Fanbiao LiThis book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection. A set of newly developed techniques such as piecewise analysis method, positively invariant set approach, event-triggered method, and cone complementary linearization approaches are presented. Control and Filtering for Semi-Markovian Jump Systems is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
Control and Filtering of Fuzzy Systems Under Communication Channels
by Xiao-Heng Chang Bo Wu Jun Xiong Zhi-Min LiThis book systematically studies the feedback control and filtering problems for nonlinear plants with limited communication channels based on T-S fuzzy models. By fully considering different network-induced phenomena, such as signal quantizations, time-delays, data packet dropouts, communication protocols, cyber attacks, and so on, some significant strategies are provided for various performance analysis and different controller/filter synthesis of fuzzy systems. The event-triggered mechanism is also mentioned to save the communication resource. Moreover, some results are extended to the fault detection and fault-tolerant control. The book provides some new methodologies in analysis and synthesis of fuzzy systems under communication channels, and can serve as a valuable reference material for researchers wishing to explore the area of control and filtering of fuzzy systems and networked systems.
Control and Filtering of Fuzzy Systems with Switched Parameters (Studies in Systems, Decision and Control #268)
by Peng Shi Zheng-Guang Wu Shanling DongThis book presents recent advances in control and filter design for Takagi-Sugeno (T-S) fuzzy systems with switched parameters. Thanks to its powerful ability in transforming complicated nonlinear systems into a set of linear subsystems, the T-S fuzzy model has received considerable attention from those the field of control science and engineering. Typical applications of T-S fuzzy systems include communication networks, and mechanical and power electronics systems. Practical systems often experience abrupt variations in their parameters or structures due to outside disturbances or component failures, and random switching mechanisms have been used to model these stochastic changes, such as the Markov jump principle. There are three general types of controller/filter for fuzzy Markov jump systems: mode-independent, mode-dependent and asynchronous. Mode-independence does not focus on whether modes are accessible and ignores partially useful mode information, which results in some conservatism. The mode-dependent design approach relies on timely, complete and correct information regarding the mode of the studied plant. Factors like component failures and data dropouts often make it difficult to obtain exact mode messages, which further make the mode-dependent controllers/filters less useful. Recently, to overcome these issues, researchers have focused on asynchronous techniques. Asynchronous modes are accessed by observing the original systems based on certain probabilities. The book investigates the problems associated with controller/filter design for all three types. It also considers various networked constraints, such as data dropouts and time delays, and analyzes the performances of the systems based on Lyapunov function and matrix inequality techniques, including the stochastic stability, dissipativity, and $H_\infty$. The book not only shows how these approaches solve the control and filtering problems effectively, but also offers potential meaningful research directions and ideas. Covering a variety of fields, including continuous-time and discrete-time Markov processes, fuzzy systems, robust control, and filter design problems, the book is primarily intended for researchers in system and control theory, and is also a valuable reference resource for graduate and undergraduate students. Further, it provides cases of fuzzy control problems that are of interest to scientists, engineers and researchers in the field of intelligent control. Lastly it is useful for advanced courses focusing on fuzzy modeling, analysis, and control.
Control and Inverse Problems: The 2022 Spring Workshop in Monastir, Tunisia (Trends in Mathematics)
by Kaïs Ammari Chaker Jammazi Faouzi TrikiThis volume presents a timely overview of control theory and inverse problems, and highlights recent advances in these active research areas. The chapters are based on talks given at the spring school "Control & Inverse Problems” held in Monastir, Tunisia in May 2022. In addition to providing a snapshot of these two areas, chapters also highlight breakthroughs on more specific topics, such as: Controllability of dynamical systems Information transfer in multiplier equations Nonparametric instrumental regression Control of chained systems The damped wave equation Control and Inverse Problems will be a valuable resource for both established researchers as well as more junior members of the community.
Control and Monitoring of Chemical Batch Reactors (Advances in Industrial Control)
by Vincenzo Tufano Francesco Pierri Fabrizio Caccavale Mario IamarinoThe Chemical Batch Reactor is aimed at tackling the above problems from a blending of academic and industrial perspectives. Advanced solutions (i.e., those based on recent research results) to the four fundamental problems of modeling, identification, control and fault diagnosis for batch processes are developed in detail in four distinct chapters. In each chapter, a general overview of foundational concepts is also given, together with a review of recent and classical literature on the various subjects. To provide a unitary treatment of the different topics and give a firm link to the underlying practical applications, a single case study is developed as the book progresses; a batch process of industrial interest, i.e., the phenol-formaldehyde reaction for the production of phenolic resins, is adopted to test the various techniques developed. In this way, a roadmap of the solutions to fundamental problems, ranging from the early stages of the production process to the complete design of control and diagnosis systems, is provided for both industrial practitioners and academic researchers.
Control and Safety Analysis of Intensified Chemical Processes
by Gade Pandu Rangaiah Dipesh Shikchand PatleControl and Safety Analysis of Intensified Chemical Processes Resource on the control and safety analysis of intensified chemical processes, ranging from general methods to specific applications Control and Safety Analysis of Intensified Chemical Processes covers the basic principles of and recent developments in control and safety analysis of intensified chemical processes, ranging from dynamic simulations and safety analysis to the design and control of important processes. The text discusses general methods and tools such as dynamic simulation, control and safety analysis as well as design aspects and analysis of important applications in order to provide scientists and engineers with an understanding of the design, control and safety considerations involved in intensified chemical processes. Sample topics covered in Control and Safety Analysis of Intensified Chemical Processes include: Simulation and optimization methods, common programs and simulators for simulation and optimization, and interfacing of simulators and optimizers Programs/simulators for dynamic simulation and control, tuning of controllers, and popular criteria for control assessment Control of a hybrid reactive-extractive distillation systems for ternary azeotropic mixtures, reactive distillation in recycle systems, and middle vessel batch distillation with vapor recompression Safety analysis of intensified processes (e.g. extractive distillation, dividing wall column, dividing wall column with mechanical vapor recompression, and algal biodiesel process) A comprehensive resource on the subject, Control and Safety Analysis of Intensified Chemical Processes is a highly valuable reference for researchers, students and practitioners interested in process intensification and their applications. The text can be adopted by instructors for use in advanced courses on process control and safety.
Control and System Theory of Discrete-Time Stochastic Systems (Communications and Control Engineering)
by Jan H. van SchuppenThis book helps students, researchers, and practicing engineers to understand the theoretical framework of control and system theory for discrete-time stochastic systems so that they can then apply its principles to their own stochastic control systems and to the solution of control, filtering, and realization problems for such systems. Applications of the theory in the book include the control of ships, shock absorbers, traffic and communications networks, and power systems with fluctuating power flows.The focus of the book is a stochastic control system defined for a spectrum of probability distributions including Bernoulli, finite, Poisson, beta, gamma, and Gaussian distributions. The concepts of observability and controllability of a stochastic control system are defined and characterized. Each output process considered is, with respect to conditions, represented by a stochastic system called a stochastic realization. The existence of a control law is related to stochastic controllability while the existence of a filter system is related to stochastic observability. Stochastic control with partial observations is based on the existence of a stochastic realization of the filtration of the observed process.
Control for Aluminum Production and Other Processing Industries
by Mark P. Taylor John J. Chen Brent Richmond YoungAn uncomfortable observation in the Shift Logs and Process Control records of most aluminum smelting plants is that process control failures, large and small, happen every day. Although only a small fraction of these failures give rise to catastrophic events, the difference between a disaster we read about and a failure which, although expensive, h
Control in Bioprocessing: Modeling, Estimation and the Use of Soft Sensors
by Pablo A. López Pérez Ricardo Aguilar López Ricardo FematCloses the gap between bioscience and mathematics-based process engineering This book presents the most commonly employed approaches in the control of bioprocesses. It discusses the role that control theory plays in understanding the mechanisms of cellular and metabolic processes, and presents key results in various fields such as dynamic modeling, dynamic properties of bioprocess models, software sensors designed for the online estimation of parameters and state variables, and control and supervision of bioprocesses Control in Bioengineering and Bioprocessing: Modeling, Estimation and the Use of Sensors is divided into three sections. Part I, Mathematical preliminaries and overview of the control and monitoring of bioprocess, provides a general overview of the control and monitoring of bioprocesses, and introduces the mathematical framework necessary for the analysis and characterization of bioprocess dynamics. Part II, Observability and control concepts, presents the observability concepts which form the basis of design online estimation algorithms (software sensor) for bioprocesses, and reviews controllability of these concepts, including automatic feedback control systems. Part III, Software sensors and observer-based control schemes for bioprocesses, features six application cases including dynamic behavior of 3-dimensional continuous bioreactors; observability analysis applied to 2D and 3D bioreactors with inhibitory and non-inhibitory models; and regulation of a continuously stirred bioreactor via modeling error compensation. Applicable across all areas of bioprocess engineering, including food and beverages, biofuels and renewable energy, pharmaceuticals and nutraceuticals, fermentation systems, product separation technologies, wastewater and solid-waste treatment technology, and bioremediation Provides a clear explanation of the mass-balance–based mathematical modelling of bioprocesses and the main tools for its dynamic analysis Offers industry-based applications on: myco-diesel for implementing "quality" of observability; developing a virtual sensor based on the Just-In-Time Model to monitor biological control systems; and virtual sensor design for state estimation in a photocatalytic bioreactor for hydrogen production Control in Bioengineering and Bioprocessing is intended as a foundational text for graduate level students in bioengineering, as well as a reference text for researchers, engineers, and other practitioners interested in the field of estimation and control of bioprocesses.
Control in Finite and Infinite Dimension (SpringerBriefs on PDEs and Data Science)
by Emmanuel TrélatThis book is the result of various master and summer school courses the author has taught. The objective is to provide the reader with an introduction to control theory and to the main tools allowing to treat general control systems. The author hopes this book will serve as motivation to go deeper into the theory or numerical aspects that are not covered in this book. This book might be helpful for graduate students and researchers in the field of control theory.
Control of Axially Moving Systems
by Keum-Shik Hong Li-Qun Chen Phuong-Tung Pham Xiao-Dong YangThis book provides a comprehensive guideline on dynamic analysis and vibration control of axially moving systems. First, the mathematical models of various axially moving systems describing the string, beam, belt, and plate models are developed. Accordingly, dynamical issues such as the equilibrium configuration, critical velocity, stability, bifurcation, and further chaotic dynamics are analyzed. Second, this book covers the design of the control schemes based on the hitherto control strategies for axially moving systems: feedback control using the transfer function, variable structure control, control by regulating the axial velocity, wave cancellation approach, boundary control using the Lyapunov method, adaptive control, and hybrid control methods. Finally, according to the contents discussed in the book, specific aspects are outlined for initiating future research endeavors to be undertaken concerning axially moving systems. This book is useful to graduate students and researchers in industrial sectors such as continuous manufacturing systems, transport systems, power transmission systems, and lifting systems not to mention in academia.
Control of Batch Processes
by Cecil L. SmithGives a real world explanation of how to analyze and troubleshoot a process control system in a batch process plant* Explains how to analyze the requirements for controlling a batch process, develop the control logic to meet these requirements, and troubleshoot the process controls in batch processes* Presents three categories of batch processes (cyclical batch, multigrade facilities, and flexible batch) and examines the differences in the control requirements in each* Examines various concepts of a product recipe and what its nature must be in a flexible batch facility* Approaches the subject from the process perspective, with emphasis on the advantages of using structured logic in the automation of all but the simplest batch processes.* Discusses the flow of information starting at the plant floor and continuing through various levels of the control logic up to the corporate IT level
Control of Biofilm Infections by Signal Manipulation (Springer Series on Biofilms #2)
by Naomi Balaban J. W. CostertonThe number of patients affected by and dying from what can be considered as a "biofilm disease" is higher than heart disease and cancer combined. Thus, this is a hugely important work that describes the molecular mechanisms of cell-to-cell communication among bacterial cells in a biofilm, the development of antibiofilm inhibitors such as quorum-sensing inhibitors, and the use of biofilm inhibitors to prevent and treat bacterial infections in humans and other animals.
Control of Biological and Drug-Delivery Systems for Chemical, Biomedical, and Pharmaceutical Engineering
by Laurent SimonEnables readers to apply process dynamics and control theory to solve bioprocess and drug delivery problemsThe control of biological and drug delivery systems is critical to the health of millions of people worldwide. As a result, researchers in systems biology and drug delivery rely on process dynamics and control theory to build our knowledge of cell behavior and to develop more effective therapeutics, controlled release devices, and drug administration protocols to manage disease.Written by a leading expert and educator in the field, this text helps readers develop a deep understanding of process dynamics and control theory in order to analyze and solve a broad range of problems in bioprocess and drug delivery systems. For example, readers will learn how stability criteria can be used to gain new insights into the regulation of biological pathways and lung mechanics. They'll also learn how the concept of a time constant is used to capture the dynamics of diffusive processes. Readers will also master such topics as external disturbances, transfer functions, and input/output models with the support of the author's clear explanations, as well as:Detailed examples from the biological sciences and novel drug delivery technologies160 end-of-chapter problems with step-by-step solutionsDemonstrations of how computational software such as MATLAB and Mathematica solve complex drug delivery problemsControl of Biological and Drug-Delivery Systems for Chemical, Biomedical, and Pharmaceutical Engineering is written primarily for undergraduate chemical and biomedical engineering students; however, it is also recommended for students and researchers in pharmaceutical engineering, process control, and systems biology. All readers will gain a new perspective on process dynamics and control theory that will enable them to develop new and better technologies and therapeutics to treat human disease.
Control of Complex Nonlinear Systems with Delay (Springer Theses)
by Philipp HövelThis research addresses delay effects in nonlinear systems, which are ubiquitous in various fields of physics, chemistry, biology, engineering, and even in social and economic systems. They may arise as a result of processing times or due to the finite propagation speed of information between the constituents of a complex system. Time delay has two complementary, counterintuitive and almost contradictory facets. On the one hand, delay is able to induce instabilities, bifurcations of periodic and more complicated orbits, multi-stability and chaotic motion. On the other hand, it can suppress instabilities, stabilize unstable stationary or periodic states and may control complex chaotic dynamics. This thesis deals with both aspects, and presents novel fundamental results on the controllability of nonlinear dynamics by time-delayed feedback, as well as applications to lasers, hybrid-mechanical systems, and coupled neural systems.
Control of Crop Diseases
by W. R. Carlile A. CoulesThoroughly revised and updated to reflect current and emerging practices, this book explores modern methods of disease control in field and glasshouse crops. It outlines the major crop diseases, with a particular emphasis on those features of symptomology and life cycle that are most relevant to the development of control measures. Modern diagnostic techniques are considered, focusing on developments in nucleic acid and immunological based procedures and their use in plant quarantine and certification schemes. The potential impact of these advances in molecular technology on plant breeding and disease resistance is also covered. Fungicides are a central part of disease control in the EU and, as such, a comprehensive account of their use forms an important part of the text, along with strategies to minimise the incidence of fungicide resistance in pathogen populations. Looking to the future, the book also addresses legislative, environmental and food safety concerns.
Control of Discrete-Time Descriptor Systems: An Anisotropy-based Approach (Studies In Systems, Decision And Control #157)
by Alexey A. Belov Olga G. Andrianova Alexander P. KurdyukovControl of Discrete-Time Descriptor Systems takes an anisotropy-based approach to the explanation of random input disturbance with an information-theoretic representation. It describes the random input signal more precisely, and the anisotropic norm minimization included in the book enables readers to tune their controllers better through the mathematical methods provided. The book contains numerous examples of practical applications of descriptor systems in various fields, from robotics to economics, and presents an information-theoretic approach to the mathematical description of coloured noise. Anisotropy-based analysis and design for descriptor systems is supplied along with proofs of basic statements, which help readers to understand the algorithms proposed, and to undertake their own numerical simulations. This book serves as a source of ideas for academic researchers and postgraduate students working in the control of discrete-time systems. The control design procedures outlined are numerically effective and easily implementable in MATLAB®
Control of Foodborne Microorganisms
by Vijay K. Juneja John N. SofosPresents the latest research in the control of foodborne pathogens. Emphasizes traditional and emerging techniques as well as current applications for the inactivation of microorganisms to reduce illness and enhance food safety and quality.