Nonlinear Stochastic Systems with Network-Induced Phenomena

Recursive Filtering and Sliding-Mode Design

Nonfiction, Science & Nature, Technology, Automation, Mathematics, Statistics
Cover of the book Nonlinear Stochastic Systems with Network-Induced Phenomena by Jun Hu, Zidong Wang, Huijun Gao, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jun Hu, Zidong Wang, Huijun Gao ISBN: 9783319087115
Publisher: Springer International Publishing Publication: July 21, 2014
Imprint: Springer Language: English
Author: Jun Hu, Zidong Wang, Huijun Gao
ISBN: 9783319087115
Publisher: Springer International Publishing
Publication: July 21, 2014
Imprint: Springer
Language: English

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties.

The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of:

·         the state-of-the-art of nonlinear filtering and control;

·         recent advances in recursive filtering and sliding mode control; and

·         their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton‒Jacobi‒Isaacs matrix inequalities, difference linear matrix inequalities and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity.

Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filtering problems.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties.

The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of:

·         the state-of-the-art of nonlinear filtering and control;

·         recent advances in recursive filtering and sliding mode control; and

·         their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton‒Jacobi‒Isaacs matrix inequalities, difference linear matrix inequalities and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity.

Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filtering problems.

More books from Springer International Publishing

Cover of the book Subsistence Entrepreneurship by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Corruption, Ideology, and Populism by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Urban Heritage Management by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Astrophysics of Exoplanetary Atmospheres by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Antibody Therapy by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Art, Creativity, and Politics in Africa and the Diaspora by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Fundamentals of Pediatric Surgery by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Disability in the Global South by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Beneficial Microorganisms in Food and Nutraceuticals by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book What is Fundamental? by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Neoliberal Bio-Economies? by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Serial Killers and the Media by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Intercultural Communication in Asia: Education, Language and Values by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book The Perception and Cognition of Visual Space by Jun Hu, Zidong Wang, Huijun Gao
Cover of the book Dynamic Fracture of Piezoelectric Materials by Jun Hu, Zidong Wang, Huijun Gao
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy