Finite-model adaptive control using WLS-like algorithm

H Ma - Automatica, 2007 - Elsevier
This paper concerns the adaptive control problem for a class of discrete-time nonlinear
uncertain systems of which the internal uncertainty can be characterized by a finite set of …

Exploring the capability and limits of the feedback mechanism

L Guo - arXiv preprint math/0305011, 2003 - arxiv.org
Feedback is a most important concept in control systems, its main purpose is to deal with
internal and/or external uncertainties in dynamical systems, by using the on-line observed …

Exploring the maximum capability of adaptive feedback

L Guo - International Journal of Adaptive Control and Signal …, 2002 - Wiley Online Library
The main purpose of adaptive feedback is to deal with dynamical systems with internal
and/or external uncertainties, by using the on‐line observed information. Thus, a …

Several algorithms for finite-model adaptive control: partial answers to finite-model adaptive control problem

H Ma - Mathematics of Control, Signals, and Systems, 2008 - Springer
Finite-model adaptive control problem is studied for a class of discrete-time nonlinear
uncertain systems. This problem was motivated by recent efforts on the capability and …

An “impossibility” theorem on a class of high-order discrete-time nonlinear control systems

H Ma - Systems & Control Letters, 2008 - Elsevier
A high-order discrete-time nonlinear system with unknown parameters and Gaussian noise
is studied in this paper, and it is shown that under a simple algebraic condition concerning …

Finite‐model adaptive control using an LS‐like algorithm

H Ma - International Journal of Adaptive Control and Signal …, 2007 - Wiley Online Library
Adaptive control problem of a class of discrete‐time nonlinear uncertain systems, of which
the internal uncertainty can be characterized by a finite set of functions, is formulated and …

[图书][B] The Sample Complexity of Learning Dynamical Systems

Y Sattar - 2023 - search.proquest.com
Abstract Machine learning has emerged as a leading force in revolutionizing technology,
education, and almost every aspect of our lives. Reinforcement learning is a sub-field of …

Learning, Control, and Reduction for Markov Jump Systems

Z Du - 2023 - deepblue.lib.umich.edu
Many real-world phenomena or systems with temporally changing dynamics can be
effectively characterized by time-varying models—typically ensembles of simple models …

[引用][C] 模态跳变概率可控的Markov 跳变线性系统的优化

徐琰恺, 陈曦 - 控制与决策, 2008

On stabilization of switched linear systems

L Guo - Control and Modeling of Complex Systems …, 2003 - Springer
This paper presents several theoretical results on stabilization of switched linear systems in
both continuous-and discrete-time cases. It will be shown that in the continuous-time case …