Robust Event Triggered Control Of Nonlinear Systems PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Robust Event Triggered Control Of Nonlinear Systems PDF full book. Access full book title Robust Event Triggered Control Of Nonlinear Systems.
Author | : Tengfei Liu |
Publisher | : Springer Nature |
Total Pages | : 264 |
Release | : 2020-06-25 |
Genre | : Technology & Engineering |
ISBN | : 9811550131 |
Download Robust Event-Triggered Control of Nonlinear Systems Book in PDF, ePub and Kindle
This book presents a study on the novel concept of "event-triggered control of nonlinear systems subject to disturbances", discussing the theory and practical applications. Richly illustrated, it is a valuable resource for researchers, engineers and graduate students in automation engineering who wish to learn the theories, technologies, and applications of event-triggered control of nonlinear systems.
Author | : Niladri Sekhar Tripathy |
Publisher | : CRC Press |
Total Pages | : 199 |
Release | : 2022-07-18 |
Genre | : Technology & Engineering |
ISBN | : 1000610659 |
Download Event-Triggered Transmission Protocol in Robust Control Systems Book in PDF, ePub and Kindle
Controlling uncertain networked control system (NCS) with limited communication among subcomponents is a challenging task and event-based sampling helps resolve the issue. This book considers event-triggered scheme as a transmission protocol to negotiate information exchange in resilient control for NCS via a robust control algorithm to regulate the closed loop behavior of NCS in the presence of mismatched uncertainty with limited feedback information. It includes robust control algorithm for linear and nonlinear systems with verification. Features: Describes optimal control based robust control law for event-triggered systems. States results in terms of Theorems and Lemmas supported with detailed proofs. Presents the combination of network interconnected systems and robust control strategy. Includes algorithmic steps for precise understanding of the control technique. Covers detailed problem statement and proposed solutions along with numerical examples. This book aims at Senior undergraduate, Graduate students, and Researchers in Control Engineering, Robotics and Signal Processing.
Author | : 刘腾飞 |
Publisher | : |
Total Pages | : 302 |
Release | : 2021 |
Genre | : Nonlinear control theory |
ISBN | : 9787568061926 |
Download Robust Event-triggered Control of Nonlinear Systems Book in PDF, ePub and Kindle
Author | : Niladri Sekhar Tripathy |
Publisher | : CRC Press |
Total Pages | : 157 |
Release | : 2022-07-18 |
Genre | : Technology & Engineering |
ISBN | : 1000610616 |
Download Event-Triggered Transmission Protocol in Robust Control Systems Book in PDF, ePub and Kindle
Controlling uncertain networked control system (NCS) with limited communication among subcomponents is a challenging task and event-based sampling helps resolve the issue. This book considers event-triggered scheme as a transmission protocol to negotiate information exchange in resilient control for NCS via a robust control algorithm to regulate the closed loop behavior of NCS in the presence of mismatched uncertainty with limited feedback information. It includes robust control algorithm for linear and nonlinear systems with verification. Features: Describes optimal control based robust control law for event-triggered systems. States results in terms of Theorems and Lemmas supported with detailed proofs. Presents the combination of network interconnected systems and robust control strategy. Includes algorithmic steps for precise understanding of the control technique. Covers detailed problem statement and proposed solutions along with numerical examples. This book aims at Senior undergraduate, Graduate students, and Researchers in Control Engineering, Robotics and Signal Processing.
Author | : Yu Jiang |
Publisher | : John Wiley & Sons |
Total Pages | : 220 |
Release | : 2017-04-13 |
Genre | : Science |
ISBN | : 1119132657 |
Download Robust Adaptive Dynamic Programming Book in PDF, ePub and Kindle
A comprehensive look at state-of-the-art ADP theory and real-world applications This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic uncertainties. Traditional model-based approaches leave much to be desired when addressing the challenges posed by the ever-increasing complexity of real-world engineering systems. An alternative which has received much interest in recent years are biologically-inspired approaches, primarily RADP. Despite their growing popularity worldwide, until now books on ADP have focused nearly exclusively on analysis and design, with scant consideration given to how it can be applied to address robustness issues, a new challenge arising from dynamic uncertainties encountered in common engineering problems. Robust Adaptive Dynamic Programming zeros in on the practical concerns of engineers. The authors develop RADP theory from linear systems to partially-linear, large-scale, and completely nonlinear systems. They provide in-depth coverage of state-of-the-art applications in power systems, supplemented with numerous real-world examples implemented in MATLAB. They also explore fascinating reverse engineering topics, such how ADP theory can be applied to the study of the human brain and cognition. In addition, the book: Covers the latest developments in RADP theory and applications for solving a range of systems’ complexity problems Explores multiple real-world implementations in power systems with illustrative examples backed up by reusable MATLAB code and Simulink block sets Provides an overview of nonlinear control, machine learning, and dynamic control Features discussions of novel applications for RADP theory, including an entire chapter on how it can be used as a computational mechanism of human movement control Robust Adaptive Dynamic Programming is both a valuable working resource and an intriguing exploration of contemporary ADP theory and applications for practicing engineers and advanced students in systems theory, control engineering, computer science, and applied mathematics.
Author | : Bhawna Tandon |
Publisher | : GRIN Verlag |
Total Pages | : 170 |
Release | : 2019-10-18 |
Genre | : Technology & Engineering |
ISBN | : 3346038653 |
Download How Can Robust Control of Nonlinear Systems be Achieved? Examining Optimization Techniques Book in PDF, ePub and Kindle
Doctoral Thesis / Dissertation from the year 2019 in the subject Engineering - General, Basics, grade: A.00, , language: English, abstract: The following text examines the questions, how nonlinear system can better be controlled by new optimisation techniques such as feedback linearization. Due to the inevitable nonlinearities in real systems, several nonlinear control methods like feedback linearization, sliding mode control, backstepping approach and further modes are described in detail in the literature. Due to limitations in application of well known classical methods, researchers have struggled for decades to realize robust and practical solutions for nonlinear systems by proposing different approaches or improving classical control methods. The feedback linearization approach is a control method which employs feedback to stabilize systems containing nonlinearities. In order to accomplish this, it assumes perfect knowledge of the system model to linearize the input-output relationship. In the absence of perfect system knowledge, modelling errors inevitably affect the performanceof the feedback controller. Many researchers have come up with a new form of feedback linearization, called robust feedback. This method gives a linearizing control law that transforms the nonlinear system into its linear approximation around an operating point. Thus, it causes only a small transformation in the natural behavior of the system, which is desired in order to obtain robustness. The controllers are required to provide various time domain and frequency domain performances while maintaining sufficient stability robustness. In this regard, the evolutionary optimization techniques provide better option as these are probabilistic search procedures and facilitate inclusion of wide variety of time and frequency domain performance functionals in the objective functions. A significant scope of work remains to be done which provides motivation for the research in the design of robust controllers using evolutionary optimization. Also, emerging techniques using LMI also find potential in controller design for feedback linearized systems.The thrust of the study here is to design robust controllers for nonlinear systems using Evolutionary optimization and LMI. Furthermore, latest control methods for nonlinear system have been studied, deeply, in this thesis. Combining feedback linearization with non linear disturbance observer based control (NDOBC) obtains promising disturbance rejection and reference tracking performance as compared to other robust control methods.
Author | : Huiping Li |
Publisher | : Springer |
Total Pages | : 194 |
Release | : 2016-10-22 |
Genre | : Technology & Engineering |
ISBN | : 3319482904 |
Download Robust Receding Horizon Control for Networked and Distributed Nonlinear Systems Book in PDF, ePub and Kindle
This book offers a comprehensive, easy-to-understand overview of receding-horizon control for nonlinear networks. It presents novel general strategies that can simultaneously handle general nonlinear dynamics, system constraints, and disturbances arising in networked and large-scale systems and which can be widely applied. These receding-horizon-control-based strategies can achieve sub-optimal control performance while ensuring closed-loop stability: a feature attractive to engineers. The authors address the problems of networked and distributed control step-by-step, gradually increasing the level of challenge presented. The book first introduces the state-feedback control problems of nonlinear networked systems and then studies output feedback control problems. For large-scale nonlinear systems, disturbance is considered first, then communication delay separately, and lastly the simultaneous combination of delays and disturbances. Each chapter of this easy-to-follow book not only proposes and analyzes novel control algorithms and/or strategies, but also rigorously develops provably correct design conditions. It also provides concise, illustrative examples to demonstrate the implementation procedure, making it invaluable both for academic researchers and engineering practitioners.
Author | : Tengfei Liu |
Publisher | : CRC Press |
Total Pages | : 347 |
Release | : 2014-04-07 |
Genre | : Technology & Engineering |
ISBN | : 1466584599 |
Download Nonlinear Control of Dynamic Networks Book in PDF, ePub and Kindle
Significant progress has been made on nonlinear control systems in the past two decades. However, many of the existing nonlinear control methods cannot be readily used to cope with communication and networking issues without nontrivial modifications. For example, small quantization errors may cause the performance of a "well-designed" nonlinear control system to deteriorate. Motivated by the need for new tools to solve complex problems resulting from smart power grids, biological processes, distributed computing networks, transportation networks, robotic systems, and other cutting-edge control applications, Nonlinear Control of Dynamic Networks tackles newly arising theoretical and real-world challenges for stability analysis and control design, including nonlinearity, dimensionality, uncertainty, and information constraints as well as behaviors stemming from quantization, data-sampling, and impulses. Delivering a systematic review of the nonlinear small-gain theorems, the text: Supplies novel cyclic-small-gain theorems for large-scale nonlinear dynamic networks Offers a cyclic-small-gain framework for nonlinear control with static or dynamic quantization Contains a combination of cyclic-small-gain and set-valued map designs for robust control of nonlinear uncertain systems subject to sensor noise Presents a cyclic-small-gain result in directed graphs and distributed control of nonlinear multi-agent systems with fixed or dynamically changing topology Based on the authors’ recent research, Nonlinear Control of Dynamic Networks provides a unified framework for robust, quantized, and distributed control under information constraints. Suggesting avenues for further exploration, the book encourages readers to take into consideration more communication and networking issues in control designs to better handle the arising challenges.
Author | : Ding Wang |
Publisher | : Springer |
Total Pages | : 307 |
Release | : 2018-08-10 |
Genre | : Technology & Engineering |
ISBN | : 9811312532 |
Download Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems Book in PDF, ePub and Kindle
This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the core theory, novel methods, and a number of typical industrial applications related to the robust adaptive critic control field, it develops a comprehensive framework of robust adaptive strategies, including theoretical analysis, algorithm design, simulation verification, and experimental results. As such, it is of interest to university researchers, graduate students, and engineers in the fields of automation, computer science, and electrical engineering wishing to learn about the fundamental principles, methods, algorithms, and applications in the field of robust adaptive critic control. In addition, it promotes the development of robust adaptive critic control approaches, and the construction of higher-level intelligent systems.
Author | : Dawei Shi |
Publisher | : Springer Nature |
Total Pages | : 228 |
Release | : 2021-03-15 |
Genre | : Technology & Engineering |
ISBN | : 981160293X |
Download Event-Triggered Active Disturbance Rejection Control Book in PDF, ePub and Kindle
The past few years have seen the attention and rapid developments in event-triggered sampled-data systems, in which the effect of event-triggered sensor measurements and controller updates is explored in controller analysis and design. This book offers the first systematic treatment of event-triggered sampled-data control system design using active disturbance rejection control (ADRC), an effective approach that is popular in both theoretic research and industrial applications. Extensive application examples with numerous illustrations are included to show how the event-triggered ADRC with theoretic performance guarantees can be implemented in engineering systems and how the performance can be actually achieved. For theoretic researchers and graduate students, the presented results provide new directions in theoretic research on event-triggered sampled-data systems; for control practitioners, the book offers an effective approach to achieving satisfactory performance with limited sampling rates.