Adaptive dynamic programming for control : algorithms and stability
There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming for Control approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming...
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| Autori principali: | , , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2013. |
| Serie: | Communications and Control Engineering
|
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Adaptive Dynamic Programming for Control, Texte imprimé, 9781447147565 • Adaptive Dynamic Programming for Control, Texte imprimé, 9781447158813 • Adaptive Dynamic Programming for Control, Texte imprimé, 9781447147589 |
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| 020 | |a 9781447147572 | ||
| 041 | 0 | |a eng | |
| 082 | |a 629.8 | ||
| 100 | 1 | |a Zhang, Huaguang, |d 1959- | |
| 245 | 1 | 0 | |a Adaptive dynamic programming for control : |b algorithms and stability |c by Huaguang Zhang, Derong Liu, Yanhong Luo, Ding Wang. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a London : |b Springer London. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Communications and Control Engineering |x 2197-7119 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Optimal Stabilization Control for Discrete-time Systems Optimal Tracking Control for Discrete-time Systems Optimal Stabilization Control for Nonlinear Systems with Time Delays Optimal Tracking Control for Nonlinear Systems with Time-delays Optimal Feedback Control for Continuous-time Systems via ADP Several Special Optimal Feedback Control Designs Based on ADP Zero-sum Games for Discrete-time Systems Based on Model-free ADP Nonlinear Games for a Class of Continuous-time Systems Based on ADP Other Applications of ADP | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming for Control approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). The range of systems treated is extensive; affine, switched, singularly perturbed and time-delay nonlinear systems are discussed as are the uses of neural networks and techniques of value and policy iteration. The text features three main aspects of ADP in which the methods proposed for stabilization and for tracking and games benefit from the incorporation of optimal control methods: infinite-horizon control for which the difficulty of solving partial differential Hamilton Jacobi Bellman equations directly is overcome, and proof provided that the iterative value function updating sequence converges to the infimum of all the value functions obtained by admissible control law sequences; finite-horizon control, implemented in discrete-time nonlinear systems showing the reader how to obtain suboptimal control solutions within a fixed number of control steps and with results more easily applied in real systems than those usually gained from infinte-horizon control; nonlinear games for which a pair of mixed optimal policies are derived for solving games both when the saddle point does not exist, and, when it does, avoiding the existence conditions of the saddle point. Non-zero-sum games are studied in the context of a single network scheme in which policies are obtained guaranteeing system stability and minimizing the individual performance function yielding a Nash equilibrium. In order to make the coverage suitable for the student as well as for the expert reader, Adaptive Dynamic Programming for Control: establishes the fundamental theory involved clearly with each chapter devoted to a clearly identifiable control paradigm; demonstrates convergence proofs of the ADP algorithms to deepen undertstanding of the derivation of stability and convergence with the iterative computational methods used; and shows how ADP methods can be put to use both in simulation and in real applications. This text will be of considerable interest to researchers interested in optimal control and its applications in operations research, applied mathematics computational intelligence and engineering. Graduate students working in control and operations research will also find the ideas presented here to be a source of powerful methods for furthering their study.The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available | ||
| 700 | 1 | |a Liu, Derong, |d 1963- |4 aut | |
| 700 | 1 | |a Luo, Yanhong, |d 19..- |4 aut | |
| 700 | 1 | |a Wang, Ding. |4 aut | |
| 776 | 0 | |t Adaptive Dynamic Programming for Control |b Texte imprimé |z 9781447147565 | |
| 776 | 0 | |t Adaptive Dynamic Programming for Control |b Texte imprimé |z 9781447158813 | |
| 776 | 0 | |t Adaptive Dynamic Programming for Control |b Texte imprimé |z 9781447147589 | |
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