SB Roy, S Bhasin, IN Kar - IEEE Transactions on Automatic …, 2017 - ieeexplore.ieee.org
This work proposes a novel combined model reference adaptive controller (MRAC) for unknown multi input multi output (MIMO) LTI systems with guaranteed parameter …
X Guo, C Wang, Z Dong, Z Ding - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, a novel output-feedback adaptive containment control scheme is proposed for a class of heterogeneous multiagent systems, where the agents are nonlinear multi-input …
R Ortega, DN Gerasimov, NE Barabanov, VO Nikiforov - Automatica, 2019 - Elsevier
In this paper it is shown that, using the recently introduced dynamic regressor extension and mixing parameter estimation technique, it is possible to remove the key assumption of prior …
Y Liu, G Tao, SM Joshi - Journal of Guidance, Control, and Dynamics, 2010 - arc.aiaa.org
This paper addresses some fundamental issues in adaptive control of aircraft with structural damage. It presents a thorough study of linearized aircraft models with damage to obtain …
In this paper, an output-feedback adaptive control is presented for linear time-invariant multivariable plants. By using the dynamic surface control technique, it is shown that the …
C Wang, Y Lin - IEEE Transactions on Automatic Control, 2011 - ieeexplore.ieee.org
In this note, a novel output-feedback adaptive backstepping control is proposed for linear time-invariant multivariable plants under a mild assumption that the Hurwitz condition for …
C Wang, C Wen, L Guo - Automatica, 2020 - Elsevier
Multivariable adaptive control with less prior information of the high-frequency gain matrix (HFGM) is a longstanding problem of both theoretical and practical importance. In this paper …
C Wang, C Wen, Q Hu, W Wang… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
This paper is devoted to distributed adaptive containment control for a class of nonlinear multiagent systems with input quantization. By employing a matrix factorization and a novel …
C Chen, C Wen, Z Liu, K Xie, Y Zhang, CLP Chen - Automatica, 2017 - Elsevier
Multivariable adaptive control is an important and challenging research area, where it usually requires designing adaptive laws to estimate a number of unknown parameters …