Overview
- Broadens understanding of sliding-mode control of stochastic discrete-time systems
- Provides theoretical groundwork for more diverse applications of sliding-mode control
- Helps readers to cope with various sources of process and measurement noise in their control designs
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 483)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Sliding-mode control (SMC) is designed for discrete-time stochastic systems, extended so that states lie within a specified band, and able to deal with incomplete information. Functional-observer-based SMC is designed for various clauses of stochastic systems: discrete-time; discrete-time with delay; state time-delayed; and those with parametric uncertainty. Stability considerations arising because of parametric uncertainty are taken into account and, where necessary, the effects of unmatched uncertainties mitigated. A simulation example is used to explain the use of the functional-observer approach to SMC design.
Discrete-Time Stochastic Sliding-Mode Control Using Functional Observation will interest all researchers working in sliding-mode control and will be of particular assistance to graduate students in understanding the changes in design philosophy that arise when changing from continuous- to discrete-time systems. It helps to pave the way for further progress in applications of discrete-time SMC.Authors and Affiliations
Bibliographic Information
Book Title: Discrete-Time Stochastic Sliding Mode Control Using Functional Observation
Authors: Satnesh Singh, S. Janardhanan
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-3-030-32800-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-32799-6Published: 26 November 2019
Softcover ISBN: 978-3-030-32802-3Published: 26 November 2020
eBook ISBN: 978-3-030-32800-9Published: 25 November 2019
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XVII, 114
Number of Illustrations: 2 b/w illustrations, 34 illustrations in colour