Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities
Author: Derui Ding
Publisher: CRC Press
Total Pages: 249
Release: 2018-10-11
Genre: Mathematics
ISBN: 0429880030

The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact. Key Features Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems Captures the essence of performance analysis and synthesis for stochastic control and filtering Concepts and performance indexes proposed reflect the requirements of engineering practice Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction
Author: Yong Zhang
Publisher: CRC Press
Total Pages: 290
Release: 2023-02-10
Genre: Technology & Engineering
ISBN: 1000835944

This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

Networked Nonlinear Stochastic Time-Varying Systems

Networked Nonlinear Stochastic Time-Varying Systems
Author: Hongli Dong
Publisher: CRC Press
Total Pages: 278
Release: 2021-09-09
Genre: Technology & Engineering
ISBN: 1000433722

Networked Non-linear Stochastic Time-Varying Systems: Analysis and Synthesis copes with the filter design, fault estimation and reliable control problems for different classes of nonlinear stochastic time-varying systems with network-enhanced complexities. Divided into three parts, the book discusses the finite-horizon filtering, fault estimation and reliable control, and randomly occurring nonlinearities/uncertainties followed by designing of distributed state and fault estimators, and distributed filters. The third part includes problems of variance-constrained H∞ state estimation, partial-nodes-based state estimation and recursive filtering for nonlinear time-varying complex networks with randomly varying topologies, and random coupling strengths. Offers a comprehensive treatment of the topics related to Networked Nonlinear Stochastic Time-Varying Systems with rigorous math foundation and derivation Unifies existing and emerging concepts concerning control/filtering/estimation and distributed filtering Provides a series of latest results by drawing on the conventional theories of systems science, control engineering and signal processing Deal with practical engineering problems such as event triggered H∞ filtering, non-fragile distributed estimation, recursive filtering, set-membership filtering Demonstrates illustrative examples in each chapter to verify the correctness of the proposed results This book is aimed at engineers, mathematicians, scientists, and upper-level students in the fields of control engineering, signal processing, networked control systems, robotics, data analysis, and automation.

Discrete Event Systems

Discrete Event Systems
Author: Christos G. Cassandras
Publisher: McGraw-Hill Science, Engineering & Mathematics
Total Pages: 824
Release: 1993
Genre: Mathematics
ISBN:

Discrete Event Systems, Stochastic Systems, Fuzzy and Neural Systems I

Discrete Event Systems, Stochastic Systems, Fuzzy and Neural Systems I
Author: Han-Fu Chen
Publisher: Pergamon
Total Pages: 486
Release: 1999-10
Genre: Computers
ISBN: 9780080432212

Chapter headings selected papers: Control of Discrete Event Systems. Control synthesis of timed discrete event systems: part one (H. Chen, H.-M. Hanisch). Control synthesis of timed discrete event systems: part two (H. Chen, H.-M. Hanisch). Modelling and Performance of Discrete Event Systems. Modelling of distributed systems based on a generalized min plus algebra (T. Berger et al.). Hybrid Systems. Parametric analysis for linear hybrid systems (J. Hou et al.). Applications of Discrete Event System Theory. Application of a genetic algorithm in crane movement scheduling (S.J. Henriksen et al.). Scheduling and Control of Manufacturing Systems. Control robustness and electroplating line with multi-manufacturing process (S. Collart Dutilleul, J.-P. Denat). Petri Nets in Manufacturing. A linear state variable model for first-order hybrid petri nets (F. Balduzzi et al.). Systems with Markov Jump Parameters. Robust stabilization of discrete time-delay Markovian jump systems (P. Shi et al.). Control of Stochastic Systems. Quantized control of stochastic stable linear systems (K.-S. Lee, A.H. Haddad). Continuous-Time Stochastic Systems. Properties of perturbed Lyapunov mapping and its application to stochastic stability problems (T. Sasagawa). Recursive Estimation and Stochastic Approximation. Easy and accurate state estimation for nonlinear systems (M. Norgaard et al.). Neural Control Applications I. A neural networks approach to nonlinear control of neutralization process (H.D. Siahaan et al.). Neural Control Applications II. Sliding mode fuzzy control of magnetic bearing systems (T. Kosaki, M. Sano). Neural network based active control of unstable combustion systems (G.P. Liu, S. Daley). Neural Networks for Identification. A neural network for robust estimation and uncertainty intervals evaluation of nonlinear models (I.N. Silva et al.). Shifting of the center of RBF network with disturbance (Q. Song et al.). Author index. Keyword index.