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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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Stochastic Control and Filtering over Constrained Communication Networks

Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies;

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Nonlinear Control and Filtering for Stochastic Networked Systems

In this book, control and filtering problems for several classes of stochastic networked systems are discussed. In each chapter, the;

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Nonlinear Control and Filtering for Stochastic Networked Systems

In this book, control and filtering problems for several classes of stochastic networked systems are discussed. In each chapter, the;

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Nonlinear Stochastic Systems with Network-Induced Phenomena

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced;

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

Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems;

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

Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems;

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Multi model Jumping Systems Robust Filtering and Fault Detection

combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite;

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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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Nonlinear Stochastic Systems with Incomplete Information

text begins with a focus on H filtering and control problems associated with general classes of nonlinear stochastic discrete-time systems;

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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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Stochastic Partial Differential Equations and Applications

Based on the proceedings of the International Conference on Stochastic Partial Differential Equations and Applications-V held in Trento;

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Stochastic Partial Differential Equations and Applications

Based on the proceedings of the International Conference on Stochastic Partial Differential Equations and Applications-V held in Trento;

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AIDA CMK Multi Algorithm Optimization Kernel Applied to Analog IC Sizing

constrained multi-objective optimization and tested with real analog IC design problems. The achieved results were compared in terms of performance;

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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry

dynamics and probabilistic constraints, and designs and validates new chance-constrained optimal control frameworks. The comprehensive and;

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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems

dynamics and probabilistic constraints, and designs and validates new chance-constrained optimal control frameworks. The comprehensive and;

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Evolutionary Multi-Criterion Optimization

papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective;

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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Archiving Strategies for Evolutionary Multi objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Theory and Principles of Smoothing, Filtering and Prediction

A descriptive account based on the theory as well as principles of smoothing, filtering and prediction techniques has been presented;

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Stochastic Control of Partially Observable Systems

in fact of this type, and deterministic control as well as stochastic control with full observation can only be approximations to the real world;

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Modern Trends in Controlled Stochastic Processes:

This book presents state-of-the-art solution methods and applications of stochastic optimal control. It is a collection of extended papers;

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Evolutionary Constrained Optimization

evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based;

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Essays on Pareto Optimality in Cooperative Games

guaranteed cost control for uncertain mean-field stochastic systems, and the existence conditions of Pareto solutions in cooperative difference game;

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Fundamentals of Stochastic Filtering

assumed to be familiar with measure theory, probability theory and the basics of stochastic processes. Most of the technical results that are;

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