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Symplectic Pseudospectral Methods for Optimal Control

The book focuses on symplectic pseudospectral methods for nonlinear optimal control problems and their applications. Both the fundamental;

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The computation of spectral representations for evolution PDE

general and it is therefore of wider interest to assess its competitiveness for numerical purposes. Until now pseudospectral methods have been;

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A Practical Guide to Pseudospectral Methods

During the past two decades, pseudospectral methods have emerged as successful, and often superior, alternatives to better known;

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Hamilton-Jacobi-Bellman Equations

Viability approach to simulation of an adaptive controller Galerkin approximations for the optimal control of nonlinear delay differential;

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Spectral Methods in Chemistry and Physics

This book is a pedagogical presentation of the application of spectral and pseudospectral methods to kinetic theory and quantum mechanics;

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Methods of Optimal Statistical Decisions, Optimal Control, and Stochastic Differential Equations

Methods of Optimal Statistical Decisions, Optimal Control, and Stochastic Differential Equations is een boek van Ellida M Khazen;

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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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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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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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Optimal Control for Chemical Engineers

Optimal Control for Chemical Engineers gives a detailed treatment of optimal control theory that enables readers to formulate and solve;

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Optimal Control for Chemical Engineers

Optimal Control for Chemical Engineers gives a detailed treatment of optimal control theory that enables readers to formulate and solve;

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Numerical Hamiltonian Problems

, numerical methods, order conditions, and implementation.The heart of the book, chapters 6 through 10, explores symplectic integration;

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Optimal Control & Geometry Systems

The synthesis of symplectic geometry, the calculus of variations and control theory offered in this book provides a crucial foundation for;

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Applied and Computational Optimal Control

scaling transformation. It presents computational solution techniques for a special class of constrained optimal control problems as well as;

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Applied and Computational Optimal Control

scaling transformation. It presents computational solution techniques for a special class of constrained optimal control problems as well as;

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Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles

This book gives an exposition of recently developed approximate dynamic programming (ADP) techniques for decision and control in human;

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Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems

nonlinear model for the operation of trains and present several approaches for calculating optimal and energy-efficient trajectories within a given;

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Symplectic, Poisson, and Noncommutative Geometry

Symplectic geometry originated in physics, but it has flourished as an independent subject in mathematics, together with its offspring;

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Design of Optimal Feedback for Structural Control

wind responses. This book addresses problems in optimal structural control. Its goal is to provide solutions and techniques for these problems;

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Acoustic Echo and Noise Control

methods to control echo and noise Develops a statistical theory for optimal control parameters and presents practical estimation and approximation;

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Deep Reinforcement Learning with Guaranteed Performance

This book discusses methods and algorithms for the near-optimal adaptive control of nonlinear systems, including the corresponding;

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Optimal Control of Induction Heating Processes

This book introduces new approaches to solving optimal control problems in induction heating process applications. Optimal Control;

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Cooperative Optimal Control of Hybrid Energy Systems

consists of the hierarchical optimal control strategy for the security issue, multi-objective optimization for both economic and emission issue;

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Cooperative Optimal Control of Hybrid Energy Systems

consists of the hierarchical optimal control strategy for the security issue, multi-objective optimization for both economic and emission issue;

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Linear Optimal Control

fore tackling mathematical subtleties make Linear Optimal Control an ideal teaching text.;

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