Discrete Time Stochastic Sliding Mode Control Using Functional Observation Book [PDF] Download

Download the fantastic book titled Discrete Time Stochastic Sliding Mode Control Using Functional Observation written by Satnesh Singh, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Discrete Time Stochastic Sliding Mode Control Using Functional Observation", which was released on 25 November 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Discrete Time Stochastic Sliding Mode Control Using Functional Observation by Satnesh Singh PDF

This book extrapolates many of the concepts that are well defined for discrete-time deterministic sliding-mode control for use with discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application for control. The resulting sliding-mode control addresses robustness issues and the functional-observer approach reduces the observer order substantially. 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.


Detail About Discrete Time Stochastic Sliding Mode Control Using Functional Observation PDF

  • Author : Satnesh Singh
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Total Pages : 129 pages
  • ISBN : 3030328007
  • PDF File Size : 50,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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  • Release Date : 21 December 2020
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This book compiles recent developments on sliding mode control theory and its applications. Each chapter presented in the book proposes new dimension in the sliding mode control theory such as

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This monograph investigates the existence of higher order sliding mode in discrete-time systems and propounds a new concept of discrete-time higher order sliding mode. The authors propose a definition of

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  • File Size : 34,9 Mb
  • Release Date : 17 October 2005
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Sliding mode control is a simple and yet robust control technique, where the system states are made to confine to a selected subset. With the increasing use of computers and

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The focus of this book is on the design of a specific control strategy using digital computers. This control strategy referred to as Sliding Mode Control (SMC), has its roots

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Presents systematic work on sliding mode control (SMC) of semi-Markovian jump systems Explores SMC methods, such as fuzzy SMC, adaptive SMC, with the presence of generally uncertain transition rates Provides

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  • File Size : 50,8 Mb
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The sliding mode control methodology has proven effective in dealing with complex dynamical systems affected by disturbances, uncertainties and unmodeled dynamics. Robust control technology based on this methodology has been

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This book proposes analysis and design techniques for Markov jump systems (MJSs) using Lyapunov function and sliding mode control techniques. It covers a range of topics including stochastic stability, finite-time

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This book is a collection of contributions defining the state of current knowledge and new trends in hybrid systems – systems involving both continuous dynamics and discrete events – as described by

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Unique in its systematic approach to stochastic systems, this book presents a wide range of techniques that lead to novel strategies for effecting intelligent control of complex systems that are