Multi Stage Feedback Control Design For Multi Time Scale System
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Multi Stage Feedback Control Design For Multi Time Scale System
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Author : Ravindra Munje
language : en
Publisher: Springer Nature
Release Date : 2024-08-23
Multi Stage Feedback Control Design For Multi Time Scale System written by Ravindra Munje and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Technology & Engineering categories.
This book presents multi-stage feedback control designs for the system with multi-time-scale behaviour both in the continuous time domain and discrete-time domain. Multi-time-scale systems have widely separated clusters of eigenvalues, making the system matrices ill-conditioned. Due to this the direct design of a feedback controller and reduced- or full-order observers for such systems is a challenging task. Hence, the feedback controllers and observers are designed in multiple design stages, i.e. two-stage design for the two-time-scale system and three-stage design for the three-time-scale system. In this book, multi-stage feedback controller and observer designs are proposed for the three-time-scale system to reduce offline and online computational efforts. The applicability of these methods is demonstrated by simulating practical systems like a coal-fired power plant and a nuclear power plant. This book also discusses the design of multi-stage feedback controllers in discrete time. The design of state feedback control for a multi-time-scale system with a lower sampling rate fails to capture information in the fastest (very fast) and fast states. While sampling at a higher rate increases computation time. Thus, the use of single-rate sampling for such systems is unsuitable. Therefore, multi-rate state feedback controllers are designed for the multi-time-scale system, in which slow, fast, and very fast states are sampled at different sampling rates. As slow, fast and very fast states are the decoupled and internal states of the original system, these are estimated by the sequential multi-stage observers. Applications of these multirate designs to the numerical examples are demonstrated and simulations are compared with single-rate sampling methods. The methods suggested in this book result in considerable savings in online and offline computations, reduction in design complexity, and improvement in robustness and closed-loop performance. This book can be beneficial to mathematicians, scientists, researchers and practicing engineers working in this area.
Multi Stage And Multi Time Scale Feedback Control Of Linear Systems With Applications To Fuel Cells
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Author : Verica Radisavljević-Gajić
language : en
Publisher: Springer
Release Date : 2019-02-12
Multi Stage And Multi Time Scale Feedback Control Of Linear Systems With Applications To Fuel Cells written by Verica Radisavljević-Gajić and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-12 with Technology & Engineering categories.
This book provides a comprehensive study of multi-stage and multi-time scale design of feedback controllers for linear dynamic systems. It examines different types of controllers as can be designed for different parts of the system (subsystems) using corresponding feedback gains obtained by performing calculations (design) only with subsystem (reduced-order) matrices.The advantages of the multi-stage/multi-time scale design are presented and conditions for implementation of these controllers are established. Complete derivations and corresponding design techniques are presented for two-stage/two-time-scale, three-stage/three-time scale, and four-stage/four-time-scale systems. The techniques developed have potential applications to a large number of real physical systems. The design techniques are demonstrated on examples of mathematical models of fuel cells, especially the proton exchange membrane fuel cell.
Control And Dynamic Systems V30 Advances In Algorithms And Computational Techniques In Dynamic System Control Part 3 Of 3
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Author : C.T. Leonides
language : en
Publisher: Elsevier
Release Date : 2012-12-02
Control And Dynamic Systems V30 Advances In Algorithms And Computational Techniques In Dynamic System Control Part 3 Of 3 written by C.T. Leonides and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Technology & Engineering categories.
Control and Dynamic Systems: Advances in Theory in Applications, Volume 30: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 3 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems. This volume begins with the issue of decision making or optimal control in the natural environment. It then discusses large-scale systems composed of multiple sensors; algorithms for systems with multiplicative noise; stochastic differential games; Markovian targets; low-cost microcomputer and true digital control systems; and algorithms for the design of teleoperated systems. This book is an important reference for practitioners in the field who want a comprehensive source of techniques with significant applied implications.
Control And Dynamic Systems V27
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Author : C.T. Leonides
language : en
Publisher: Elsevier
Release Date : 2012-12-02
Control And Dynamic Systems V27 written by C.T. Leonides and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Technology & Engineering categories.
Control and Dynamic Systems: Advances in Theory and Application, Volume 27: System Identification and Adaptive Control, Part 3 of 3 deals with system parameter identification and adaptive control. It presents useful techniques for adaptive control systems. This volume begins by presenting a powerful approach to multivariable model reference adaptive control based on the ideas and techniques of disturbance-accommodating control theory. It then discusses the modeling of biological systems; optimal control for air conditioning systems; linear programming for constrained multivariable process control; finite element approximation; development of irreducible state space singular systems; and discrete systems with multiple time scales. This book is an important reference for practitioners in the field who want a comprehensive source of techniques with significant applied implications.
Decentralized Control And Filtering In Interconnected Dynamical Systems
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Author : Magdi S. Mahmoud
language : en
Publisher: CRC Press
Release Date : 2010-11-23
Decentralized Control And Filtering In Interconnected Dynamical Systems written by Magdi S. Mahmoud and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-23 with Business & Economics categories.
Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems supplies a rigorous framework for studying the analysis, stability, and control problems of LSS. Providing an overall assessment of LSS theories, it addresses model order reduction, parametric un
Nonlinear Model Predictive Control
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Author : Frank Allgöwer
language : en
Publisher: Birkhäuser
Release Date : 2012-12-06
Nonlinear Model Predictive Control written by Frank Allgöwer and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ones being its extension to nonlinear systems. This book gives an up-to-date assessment of the current state of the art in the new field of nonlinear model predictive control (NMPC). The main topic areas that appear to be of central importance for NMPC are covered, namely receding horizon control theory, modeling for NMPC, computational aspects of on-line optimization and application issues. The book consists of selected papers presented at the International Symposium on Nonlinear Model Predictive Control – Assessment and Future Directions, which took place from June 3 to 5, 1998, in Ascona, Switzerland. The book is geared towards researchers and practitioners in the area of control engineering and control theory. It is also suited for postgraduate students as the book contains several overview articles that give a tutorial introduction into the various aspects of nonlinear model predictive control, including systems theory, computations, modeling and applications.
Concise Encyclopedia Of Modelling And Simulation
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Author : D.P. Atherton
language : en
Publisher: Elsevier
Release Date : 2013-10-22
Concise Encyclopedia Of Modelling And Simulation written by D.P. Atherton and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Science categories.
The Concise Encyclopedia of Modelling & Simulation contains 172 alphabetically arranged articles describing the modelling and simulation of physical systems. The emphasis is on mathematical models and their various forms, although other types of models, such as knowledge-based, linguistics-based, graphical and data-based, are also discussed. The articles are revised from the Systems & Control Encyclopedia, and many newly commissioned articles are included describing recent developments in the field. Articles on identification cover all aspects of this problem, from the use and choice of specific test signals to problems of model order and the many algorithms and approaches to parameter estimation. Computational techniques, such as the finite-element method, that play an important role in analyzing nonlinear models are covered. Articles outline the development of simulation, consider currently available simulation languages, describe applications and cover current developments in the area. Where appropriate, illustrations and tables are included to clarify particular topics. This encyclopedia will be a valuable reference source for all practising engineers, researchers and postgraduate students in the field of modelling and simulation.
Parallel Algorithms For Optimal Control Of Large Scale Linear Systems
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Author : Zoran Gajic
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Parallel Algorithms For Optimal Control Of Large Scale Linear Systems written by Zoran Gajic and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Parallel Algorithms for Optimal Control of Large Scale Linear Systems is a comprehensive presentation for both linear and bilinear systems. The parallel algorithms presented in this book are applicable to a wider class of practical systems than those served by traditional methods for large scale singularly perturbed and weakly coupled systems based on the power-series expansion methods. It is intended for scientists and advance graduate students in electrical engineering and computer science who deal with parallel algorithms and control systems, especially large scale systems. The material presented is both comprehensive and unique.
Discrete Systems
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Author : Magdi S Mahmoud
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Discrete Systems written by Magdi S Mahmoud and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
More and more digital devices are being used for informa tion processing and control purposes in a variety of systems applications, including industrial processes, power networks, biological systems and communication networks. This trend has been helped by the advent of microprocessors and the consequent availability of cheap distributed computing power. For those applications, where digital devices are used, it is reasonable to model the system in discrete-time. In addition there are other application areas, e.g. econometric systems, business systems, certain command and control systems, environmental systems, where the underlying models are in discrete-time and here discrete-time approaches to analysis and control are the most appropriate. In order to deal with these two situations, there has been a lot of interest in developing techLiques which allow us to do analysis, design and control of discrete-time systems. This book provides a comprehensive treatment of discrete time dynamical systems. It covers the topics of modelling, optimization techniques and control design. The book is designed to serve as a text for teaching at the first year graduate level. The material included is organized into eight chapters.
Artificial Intelligence And Renewables Towards An Energy Transition
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Author : Mustapha Hatti
language : en
Publisher: Springer Nature
Release Date : 2020-12-17
Artificial Intelligence And Renewables Towards An Energy Transition written by Mustapha Hatti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-17 with Technology & Engineering categories.
This proceedings book emphasizes adopting artificial intelligence-based and sustainable energy efficiency integrated with clear objectives, to involve researchers, students, and specialists in their development and implementation adequately in achieving objectives. The integration of artificial intelligence into renewable energetic systems would allow the rapid development of a knowledge-based economy suitable to the energy transition, while fully integrating the renewables into the global economy. This is how artificial intelligence has hand in by conceptualizing this transition and above all by saving time. The knowledge economy is valuated within the smart cities, which are fast becoming the favorite places where the energy transition will take place efficiently and intelligently by implementing integrated approaches to energy saving and energy supply and integrated urban approaches that go beyond individual interventions in buildings or transport modes using information and communication technologies.