This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.

Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals (Studies in Systems, Decision and Control, 170)

Computers & Technology

Park, Ju H.

Shen, Hao

Chang, Xiao-Heng

Lee, Tae H.

Computer Science

Springer

Grasslands on the Third Pole of the World: Structure, Function, Process, and Resilience of Social-Ecological Systems

Politics & Social Sciences

Li, Shuai

ZHANG YONG

Dong, Shikui

Xu, Yudan

Sociology

The oil company executives business knowledge Series: marketing managers index problem solutions(Chinese Edition)

China Petrochemical Press

<p><p>In this book, various singularly perturbed jump system models in continuous-time or discrete-time domain, such as Markov jump singularly perturbed systems, semi-Markov jump singularly perturbed systems, hidden Markov jump singularly perturbed systems, and singularly perturbed jump complex network model, have been considered for some control synthesis problems. Also, some partial probability information cases are taken into account when addressing those control synthesis problems. To show the effectiveness and applicability of the obtained results, some numerical examples and practical industrial model examples are given.</p></p>

Singularly Perturbed Jump Systems: Stability, Synchronization and Control (Studies in Systems, Decision and Control, 522)

Wang, Jing

Li, Feng

Reference

See the best price to sell, buy, or rent books by Shen, Hao. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Shen, Hao