Shen, Dong. creator author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XI, 350 p. 101 illus., 100 illus. in color. online resource. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control. Introduction -- Preliminary Results -- Decreasing Gain Design -- Adaptive Gain Design -- Event triggering Gain Design -- Optimal Gain Design -- Conclusions and Open Problems -- References. by Dong Shen. Control engineering Stochastic processes System theory Control theory Industrial engineering Automation Control and Systems Theory Stochastic Systems and Control Systems Theory, Control Industrial Automation TJ212-225 9789819782819 https://doi.org/10.1007/978-981-97-8281-9 https://doi.org/10.1007/978-981-97-8281-9 250103 20251030114919.0 978-981-97-8281-9