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Stochastic Control of Partially Observable Systems

The problem of stochastic control of partially observable systems plays an important role in many applications. All real problems are;

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Optimal Control of Stochastic Difference Volterra Equations

their past history; it is an introduction to the mathematical theory of optimal control for stochastic difference Volterra equations of neutral;

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Control and System Theory of Discrete-Time Stochastic Systems

discrete-time stochastic systems so that they can then apply its principles to their own stochastic control systems and to the solution of control;

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Optimal Control of Dynamic Systems Driven by Vector Measures

This book is devoted to the development of optimal control theory for finite dimensional systems governed by deterministic and stochastic;

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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems

of reduced-order and preview tracking control are also presented and solved. The second part of the monograph concerns non-linear stochastic state;

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Stochastic Dynamics and Control

graduate course. It provides a systematic review of theory of probability, stochastic processes, and stochastic calculus. The feedback control;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Variance-Constrained Multi-Objective Stochastic Control and Filtering

This title unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented;

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Mathematical Control Theory for Stochastic Partial Differential Equations

This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch;

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Introduction to Discrete Event Systems

and decentralized supervisory control of partially-observed systems timed models, including timed automata and hybrid automata stochastic;

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Observer Design for Nonlinear Dynamical Systems

single and multiple outputs, fully and partially observable systems, and regular and singular dynamical systems. It is an exposition;

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Observer Design for Nonlinear Dynamical Systems

single and multiple outputs, fully and partially observable systems, and regular and singular dynamical systems. It is an exposition;

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Stochastic Reachability Analysis of Hybrid Systems

Stochastic reachability analysis (SRA) is a method of analyzing the behavior of control systems which mix discrete and continuous dynamics;

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Modeling and Management of Stochastic Systems

Stochastic control deals with the uncertainties in data observation playing a crucial role in data evolution. Stochastic control plays a;

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Optimal Design of Control Systems: Stochastic and Deterministic Problems (Pure and Applied Mathematics

"Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical;

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Linear Stochastic Systems

of stochastic adaptive control theory. Written in a clear, concise manner and accessible to graduate students, researchers, and teachers, this;

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Sliding Mode Control of Semi-Markovian Jump Systems

analysis of semi-Markovian jump systems via sliding mode control strategy which makes up the shortages in the analysis and design of stochastic;

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General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions

in modern control theory. The corresponding theory is by now well-developed in the deterministic infinite dimensional setting and for the stochastic;

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Analysis and Design of Singular Markovian Jump Systems

control, proportional-derivative and partially mode-dependent control, in terms of LMIs with and without equation constraints; * mode;

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Optimal Control and Optimization of Stochastic Supply Chain Systems

Optimal Control and Optimization of Stochastic Supply Chain Systems examines its subject the context of the presence of a variety;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

substantially. Sliding-mode control (SMC) is designed for discrete-time stochastic systems, extended so that states lie within a specified band;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

substantially. Sliding-mode control (SMC) is designed for discrete-time stochastic systems, extended so that states lie within a specified band;

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Advances in the Control of Markov Jump Linear Systems with No Mode Observation

This brief broadens readers' understanding of stochastic control by highlighting recent advances in the design of optimal control for;

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Stochastic Networked Control Systems: Stabilization and Optimization Under Information Constraints

within applied mathematics such as decentralized control, stochastic control, information theory, and quantization. A thorough, self;

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Differential Equations and Control Theory

, China. It provides an overview of current developments in a range of topics including dynamical systems, optimal control theory, stochastic;

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Stochastic Optimal Control of Structures

This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced;

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