Discrete-Time Stochastic Sliding Mode Control Using Functional Observation Discrete-Time Stochastic Sliding Mode Control Using Functional Observation
Lecture Notes in Control and Information Sciences

Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

    • ‏79٫99 US$
    • ‏79٫99 US$

وصف الناشر

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 usedto 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.

النوع
تخصصات مهنية وتقنية
تاريخ النشر
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٢٥ نوفمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Process Monitoring, Fault Diagnosis, and Tolerant Control for Complex Industrial Systems Process Monitoring, Fault Diagnosis, and Tolerant Control for Complex Industrial Systems
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Nonlinear and Constrained Control Nonlinear and Constrained Control
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Robust Control of Jump Linear Stochastic Systems Robust Control of Jump Linear Stochastic Systems
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Data-Driven, Nonparametric, Adaptive Control Theory Data-Driven, Nonparametric, Adaptive Control Theory
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Partial Moments in System Identification Partial Moments in System Identification
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Hybrid and Networked Dynamical Systems Hybrid and Networked Dynamical Systems
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