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Discrete Time Stochastic Control and Dynamic Potential Games

Lagrange method). It turns out, however, that one way to characterize dynamic potential games requires to analyze inverse optimal control problems;

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Optimal Networked Control Systems with MATLAB

NCS by using neuro dynamic programming Explores stochastic optimal design for nonlinear two-player zero-sum games under communication;

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Optimal Networked Control Systems With MATLAB

systems in input-output form enclosed by a communication network Addresses the stochastic optimal control of nonlinear NCS by using neuro dynamic;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application;

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Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it;

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Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it;

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Controlled Markov Processes and Viscosity Solutions

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It;

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Controlled Markov Processes and Viscosity Solutions

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It;

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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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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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Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

techniques for dynamic models and filtering, prediction, and smoothing problems. It also discusses the stochastic approximation method and the robust;

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Zero-Sum Discrete-Time Markov Games with Unknown Disturbance Distribution

illustrative examples. In this sense, the book is an essential reference for theoretical and applied researchers in the fields of stochastic control;

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Stochastic Control in Discrete and Continuous Time

This book contains an introduction to three topics in stochastic control: discrete time stochastic control, i. e. , stochastic dynamic;

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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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Uncertain Optimal Control

This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value;

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Handbook of Markov Decision Processes

optimization, discrete-time stochastic control, and stochastic dynamic programming-studiessequential optimization ofdiscrete time stochastic systems;

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Handbook of Markov Decision Processes

optimization, discrete-time stochastic control, and stochastic dynamic programming-studiessequential optimization ofdiscrete time stochastic systems;

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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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Stochastic Dynamic Programming And The Control Of Queueing Systems

stochastic Stochastic Dynamic Programming and the Control of Queueing Systems features: Path-breaking advances in Markov decision process;

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Advances in Dynamic and Mean Field Games

, these papers cover various aspects of dynamic game theory including mean-field games, stochastic and pursuit-evasion games, and computational;

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Discrete-Time Higher Order Sliding Mode

-time higher order sliding mode. The authors propose a definition of discrete-time higher order sliding mode and a control law is designed by;

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Infinite-Horizon Optimal Control in the Discrete-Time Framework

setting and results are given which generalize Pontryagin's principles to multi-criteria problems. Infinite-Horizon Optimal Control in the;

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Frontiers in Games and Dynamic Games

This contributed volume presents the state-of-the-art of games and dynamic games, featuring several chapters based on plenary sessions at;

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Advances In Analysis And Control Of Time-delayed Dynamical Systems

time delay, bifurcations, stochastic dynamics and control, delayed Hamiltonian systems, uncertain dynamic systems with time delay, and;

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