A Relaxation-Based Approach to Optimal Control of Hybrid and Switched Systems: A Practical Guide for Engineers

Author:   Vadim Azhmyakov (Vadim Azhmyakov<br>Department of Mathematical Sciences,<br>Universidad EAFIT,<br>Medellin, Republic of Colombia)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780128147887


Pages:   434
Publication Date:   20 February 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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A Relaxation-Based Approach to Optimal Control of Hybrid and Switched Systems: A Practical Guide for Engineers


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Author:   Vadim Azhmyakov (Vadim Azhmyakov<br>Department of Mathematical Sciences,<br>Universidad EAFIT,<br>Medellin, Republic of Colombia)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Butterworth-Heinemann Inc
Weight:   0.930kg
ISBN:  

9780128147887


ISBN 10:   0128147881
Pages:   434
Publication Date:   20 February 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction 2. Mathematical Background 3. Convex Programming 4. Short Course in Continuous – Time Dynamic Systems and Control 5. Relaxation Schemes in Conventional Optimal Control and Optimization Theory 6. Optimal Control of Hybrid and Switched Systems 7. Numerically Tractable Relaxation Schemes for Optimal Control of Hybrid and Switched Systems 8. Applications of the Relaxation Based Approach

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Vadim Azhmyakov graduated in 1989 from the Department of Applied Mathematics of the Technical University of Moscow. He gained a Ph.D. in Applied Mathematics in 1994, and a Postdoc in Mathematics in 2006 of the EMA University of Greifswald, Greifswald, Germany. He has experience in Applied Mathematics: optimal control, optimization, numerical methods nonlinear analysis, convex analysis, differential equations and differential inclusions, engineering mathematics; and Control Engineering: hybrid and switched dynamic systems, systems optimization, robust control, control over networks, multiagent systems, robot control, Lagrange mechanics, stochastic dynamics, smart grids, energy management systems.

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