Add to ORKGAbstract: Solving a tracking problem does not always give desired results even when the adaptive control methods are used. Some difficulties may occur when the apriori assumptions laid down for the problem solution are not satisfied. One of the serious issues is the existence of unmodeled dynamics in the tracking problem. The proposed solutions are mainly based on robustification of the adaptation law. In this paper we propose to reduce the effect of unmodeled dynamics using the MRAC control law modification so that the standard adaptation law ensures the sufficiently small tracking error. Copyright © 2005 IFA
Two adaptive control schemes for nonlinear mechanical systems, proposed by Slotine and Li (1987, 198...
In this article, an enhanced model reference adaptive control (EMRAC) algorithm is used to design a ...
Model reference adaptive controllers designed via the Minimal Control Synthesis (MCS) approach are a...
This paper introduces the method of ‘reference model decomposition ’ as a way to improve the robustn...
The paper presents performance and robustness analysis of the modified reference model MRAC (model r...
By using the concept of on-line goal adaptation, we develop a new paradigm of performance shaping in...
a b s t r a c t By using the concept of on-line goal adaptation, we develop a new paradigm of perfor...
This paper introduces the method of reference model decomposition as a way to improve the robustness...
AbstractThis paper presents a stable model reference adaptive control (MRAC) scheme with robust prop...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.Ca...
The tracking/rejection of periodic disturbances in linear systems is achievable via internal model p...
Improved understanding of human adaptation can be used to design better (semi-)automated systems tha...
In many existing model reference adaptive control (MRAC) schemes, the plant order and relative degre...
Abstract: A novel approach within the conventional MRAC framework for solving the problem of robust ...
Two adaptive control schemes for nonlinear mechanical systems, proposed by Slotine and Li (1987, 198...
In this article, an enhanced model reference adaptive control (EMRAC) algorithm is used to design a ...
Model reference adaptive controllers designed via the Minimal Control Synthesis (MCS) approach are a...
This paper introduces the method of ‘reference model decomposition ’ as a way to improve the robustn...
The paper presents performance and robustness analysis of the modified reference model MRAC (model r...
By using the concept of on-line goal adaptation, we develop a new paradigm of performance shaping in...
a b s t r a c t By using the concept of on-line goal adaptation, we develop a new paradigm of perfor...
This paper introduces the method of reference model decomposition as a way to improve the robustness...
AbstractThis paper presents a stable model reference adaptive control (MRAC) scheme with robust prop...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.Ca...
The tracking/rejection of periodic disturbances in linear systems is achievable via internal model p...
Improved understanding of human adaptation can be used to design better (semi-)automated systems tha...
In many existing model reference adaptive control (MRAC) schemes, the plant order and relative degre...
Abstract: A novel approach within the conventional MRAC framework for solving the problem of robust ...
Two adaptive control schemes for nonlinear mechanical systems, proposed by Slotine and Li (1987, 198...
In this article, an enhanced model reference adaptive control (EMRAC) algorithm is used to design a ...
Model reference adaptive controllers designed via the Minimal Control Synthesis (MCS) approach are a...