Search Results - (dynamic OR dynamics) programming.

Dynamic programming : models and applications / by Denardo, Eric V.

Subjects: “…Dynamic programming. 1985…”

Dynamic programming and optimal control / by Bertsekas, Dimitri P.

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Fluid Dynamics Theory, Computation, and Numerical Simulation / by Pozrikidis, C.

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Adaptive Dynamic Programming: Single and Multiple Controllers by Song, Ruizhuo, Wei, Qinglai, Li, Qing

Table of Contents: “…Part I: Preparation -- Introduction to optimal control and adaptive dynamic programming -- Neural networks implementation -- Part II: Optimal control for system with single controller -- Finite-time optimal control -- Multi-objective optimal control -- Multiple actor-critic optimal control via ADP -- Optimal control for complex-valued nonlinear systems -- Chaotic systems optimal tracking control -- Part III: Multi-player systems games -- Optimal control for unknown systems with disturbances -- Zero-sum differential games -- Non-Zero-Sum games -- Synchronization control for multi-agent games.…”
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Adaptive Dynamic Programming with Applications in Optimal Control by Liu, Derong, Wei, Qinglai, Wang, Ding, Yang, Xiong, Li, Hongliang

Table of Contents: “…History of Adaptive Dynamic Programming -- Part I: Continuous-Time Systems -- Optimal Control of Continuous-Time Affine Nonlinear Systems -- Optimal Control of Nonaffine Continuous-Time Systems -- Robust and Guaranteed Cost Control of Continuous-Time Nonlinear Systems -- Decentralized Stabilization and Control of Nonlinear Interconnected Systems -- Online Synchronous Optimal Learnign Algorithms for Multiplayer Nonzero-Sum Games with Unknown Dynamics -- Part II: Discrete-Time Systems -- Value Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems -- Finite Approximation Error-Based Value Iteration for Adaptive Dynamic Programming -- Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems -- Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems -- Error-Bound Analysis of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems -- Part III: Applications -- Adaptive Dynamic Programming for Renewable Energy Scheduling and Battery Management in Smart Homes -- Adaptive Dynamic Programming for Optimal Tracking Control of a Coal Gasification Process -- Data-Driven Neuro-Optimal Temperature Control of Water-Gas Shift Reaction.…”
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Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining by AbouEisha, Hassan, Amin, Talha, Chikalov, Igor, Hussain, Shahid, Moshkov, Mikhail

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Structural Dynamics Theory and Computation / by Paz, Mario, Kim, Young Hoon

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Control Applications of Vehicle Dynamics. by Yu, Jingsheng

Table of Contents: “…Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Series Preface -- Preface -- Acknowledgments -- Author Biographies -- PART I: Modeling of Vehicle Dynamics -- Chapter 1: Introduction -- 1.1. Vehicle System Dynamics: Brief History and Future Research Directions -- 1.2. …”
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Self-Learning Optimal Control of Nonlinear Systems Adaptive Dynamic Programming Approach / by Wei, Qinglai, Song, Ruizhuo, Li, Benkai, Lin, Xiaofeng

Table of Contents: “…Principle of Adaptive Dynamic Programming -- Chapter 2. An Iterative ϵ-Optimal Control Scheme for a Class of Discrete-Time Nonlinear Systems With Unfixed Initial State -- Chapter 3. …”
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Dynamic Analysis and Design of Offshore Structures by Chandrasekaran, Srinivasan

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Optimization and Control of Dynamic Systems Foundations, Main Developments, Examples and Challenges / by Górecki, Henryk

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Applications of Quantum Dynamics in Chemistry by Gatti, Fabien, Lasorne, Benjamin, Meyer, Hans-Dieter, Nauts, André

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Analysis and Synthesis of Dynamic Systems with Positive Characteristics by Shen, Jun

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The Finite Volume Method in Computational Fluid Dynamics An Advanced Introduction with OpenFOAM® and Matlab / by Moukalled, F., Mangani, L., Darwish, M.

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The History of Multiphase Science and Computational Fluid Dynamics A Personal Memoir / by Lyczkowski, Robert W.

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Complex Systems Design & Management Proceedings of the Seventh International Conference on Complex Systems Design & Management, CSD&M Paris 2016 /

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Machine Learning Control - Taming Nonlinear Dynamics and Turbulence by Duriez, Thomas, Brunton, Steven L., Noack, Bernd R.

Table of Contents: “…Preface -- 1 Introduction -- 1.1 Feedback in engineering and living systems -- 1.2 Benefits of feedback control -- 1.3 Challenges of feedback control -- 1.4 Feedback turbulence control is a grand challenge problem -- 1.5 Nature teaches us the control design -- 1.6 Outline of the book -- 1.7 Exercises -- 2 Machine learning control (MLC) -- 2.1 Methods of machine learning -- 2.2 MLC with genetic programming -- 2.3 Examples -- 2.4 Exercises -- 2.5 Suggested reading -- 2.6 Interview with Professor Marc Schoenauer -- 3 Methods of linear control theory -- 3.1 Linear systems -- 3.2 Full-state feedback -- Linear quadratic regulator (LQR) -- 3.3 Sensor-based state estimation -- Kalman filtering -- 3.4 Sensor-based feedback -- Linear quadratic Gaussian (LQG) -- 3.5 System Identification and Model Reduction -- 3.6 Exercises -- 3.7 Suggested reading -- 4 Benchmarking MLC against linear control -- 4.1 Comparison of MLC with LQR on a linear oscillator -- 4.2 Comparison of MLC with Kalman filter on a noisy linear oscillator -- 4.3 Comparison of MLC with LQG for sensor-based feedback -- 4.4 Modifications for small nonlinearity -- 4.5 Exercises -- 4.6 Interview with Professor Shervin Bagheri -- 5 Taming nonlinear dynamics with MLC -- 5.1 Generalized mean-field system -- 5.2 Machine learning control -- 5.3 Derivation outline for the generalized mean-field model -- 5.4 Alternative control approaches -- 5.5 Exercises -- 5.6 Suggested reading -- 5.7 Interview with Professor Mark N. …”
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Fully Implicit, Coupled Procedures in Computational Fluid Dynamics An Engineer's Resource Book / by Mazhar, Zeka

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Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring by Schumann, Andrew

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Advances in Unconventional Computing Volume 1: Theory /

Table of Contents: “…A Physicist's Viewpoint -- The Ideal Energy of Classical Lattice Dynamics -- An Analogue-digital Model of Computation: Turing Machines with Physical Oracles -- Physical and Formal Aspects of Computation: Exploiting Physics for Computation and Exploiting Computation for Physical Purposes -- Computing in Perfect Euclidean Framework.…”
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