Output Feedback Reinforcement Learning Control for Linear Systems
This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New developments in the design of sensor data efficient RL algorithms are demonstrated that not only...
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| Asıl Yazarlar: | , |
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| Müşterek Yazar: | |
| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
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Cham :
Springer International Publishing : Imprint: Birkhäuser,
2023.
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| Edisyon: | 1st ed. 2023. |
| Seri Bilgileri: | Control Engineering,
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| Konular: | |
| Online Erişim: | https://doi.org/10.1007/978-3-031-15858-2 |
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| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-15858-2 | ||
| 003 | DE-He213 | ||
| 005 | 20260810170408.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 221129s2023 sz | o |||| 0|eng d | ||
| 020 | |a 9783031158582 |9 978-3-031-15858-2 | ||
| 024 | 7 | |a 10.1007/978-3-031-15858-2 |2 doi | |
| 050 | 4 | |a Q295 | |
| 050 | 4 | |a QA402.3-402.37 | |
| 072 | 7 | |a GPFC |2 bicssc | |
| 072 | 7 | |a SCI064000 |2 bisacsh | |
| 072 | 7 | |a GPFC |2 thema | |
| 082 | 0 | 4 | |a 003 |2 23 |
| 100 | 1 | |a Rizvi, Syed Ali Asad. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Output Feedback Reinforcement Learning Control for Linear Systems |h [electronic resource] / |c by Syed Ali Asad Rizvi, Zongli Lin. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Birkhäuser, |c 2023. | |
| 300 | |a 1 online resource (XVI, 294 p.). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Control Engineering, |x 2373-7727 | |
| 505 | 0 | |a Preface -- Introduction to Optimal Control and Reinforcement Learning -- Model-Free Design of Linear Quadratic Regulator -- Model-Free H-infinity Disturbance Rejection and Linear Quadratic Zero-Sum Games -- Model-Free Stabilization in the Presence of Actuator Saturation -- Model-Free Control of Time Delay Systems -- Model-Free Optimal Tracking Control and Multi-Agent Synchronization -- Index. | |
| 520 | |a This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New developments in the design of sensor data efficient RL algorithms are demonstrated that not only reduce the requirement of sensors by means of output feedback, but also ensure optimality and stability guarantees. A variety of practical challenges are considered, including disturbance rejection, control constraints, and communication delays. Ideas from game theory are incorporated to solve output feedback disturbance rejection problems, and the concepts of low gain feedback control are employed to develop RL controllers that achieve global stability under control constraints. Output Feedback Reinforcement Learning Control for Linear Systems will be a valuable reference for graduate students, control theorists working on optimal control systems, engineers, and applied mathematicians. | ||
| 588 | |a Print version record. | ||
| 650 | 0 | |a System theory. | |
| 650 | 0 | |a Control theory. | |
| 650 | 0 | |a Control engineering. | |
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Calculus of variations. | |
| 650 | 1 | 4 | |a Systems Theory, Control. |
| 650 | 2 | 4 | |a Control and Systems Theory. |
| 650 | 2 | 4 | |a Calculus of Variations and Optimization. |
| 700 | 1 | |a Lin, Zongli. |e author. |0 (orcid)0000-0003-1589-1443 |1 https://orcid.org/0000-0003-1589-1443 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031158575 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031158599 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031158605 |
| 830 | 0 | |a Control Engineering, |x 2373-7727 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-15858-2 |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||