Hochschulschrift
Reinforcement learning aided performance optimization of feedback control systems
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783658330330
3658330333
- Maße
-
21 cm, 204 g
- Umfang
-
xix, 127 Seiten
- Sprache
-
Englisch
- Anmerkungen
-
Illustrationen
Universität Duisburg-Essen, Dissertation, 2020
- Klassifikation
-
Elektrotechnik, Elektronik
- Schlagwort
-
Regelungssystem
Rückkopplung
Bestärkendes Lernen
Linearquadratische Kontrolltheorie
LQ-Regler
Optimale Kontrolle
Robustheit
Beobachter
Lineares zeitinvariantes System
Nichtlineares System
- Ereignis
-
Veröffentlichung
- (wo)
-
Wiesbaden
- (wer)
-
Springer Vieweg
- (wann)
-
[2021]
- Urheber
- Beteiligte Personen und Organisationen
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 13:57 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Hua, Changsheng
- Springer Fachmedien Wiesbaden
- Springer Vieweg
Entstanden
- [2021]
Ähnliche Objekte (12)
Reinforcement Learning for Quantum Control with Feedback
Optimization aided design : reinforced concrete
Reinforcement learning for discrete stochastic optimization
Sequence optimization in the automotive industry using reinforcement learning
Optimization of global production scheduling with deep reinforcement learning
Subjective evaluations with performance feedback
Performance Feedback and Peer Effects
Relative Performance Feedback to Teams
Adjoint-based optimization of sound reinforcement including non-uniform flow
Reinforcement learning based traffic optimization at an intersection with GLOSA
Deep reinforcement learning methods for structure-guided processing path optimization
Performance feedback enhances test-potentiated encoding
Reinforcement Learning for Quantum Control with Feedback
Optimization aided design : reinforced concrete
Reinforcement learning for discrete stochastic optimization
Sequence optimization in the automotive industry using reinforcement learning
Optimization of global production scheduling with deep reinforcement learning
Subjective evaluations with performance feedback
Performance Feedback and Peer Effects
Relative Performance Feedback to Teams
Adjoint-based optimization of sound reinforcement including non-uniform flow
Reinforcement learning based traffic optimization at an intersection with GLOSA
Deep reinforcement learning methods for structure-guided processing path optimization
Performance feedback enhances test-potentiated encoding
Reinforcement Learning for Quantum Control with Feedback
Optimization aided design : reinforced concrete
Reinforcement learning for discrete stochastic optimization
Sequence optimization in the automotive industry using reinforcement learning
Optimization of global production scheduling with deep reinforcement learning
Subjective evaluations with performance feedback
Performance Feedback and Peer Effects
Relative Performance Feedback to Teams
Adjoint-based optimization of sound reinforcement including non-uniform flow
Reinforcement learning based traffic optimization at an intersection with GLOSA
Deep reinforcement learning methods for structure-guided processing path optimization