We consider the construction of adaptive controllers for minimum phase linear systems which achieve non-zero robustness margins in the sense of the gap metric. The gap perturbation margin may be more constrained for larger disturbances and for larger parametric uncertainties. Working in an L2 setting, and within the framework of the nonlinear gap metric, universal adaptive controllers are first given achieving stabilisation for first order nominal plants, and the results are then generalised to relative degree one nominal plants. Necessary asymptotic properties of the robustness margins are derived for the class of controllers considered. Extensions to the Linfty setting are also developed where two alternative designs are given. A notion o...
This paper presents the optimal control modification for linear uncertain plants. The Lyapunov analy...
We consider the adaptive tracking problem for a chain of integrators, where the uncertainty is stati...
In this thesis we develop performance bounds for adaptive control designs applicable to functionally...
We consider the construction of adaptive controllers for minimum phase linear systems which achieve ...
We consider the construction of adaptive controllers for minimum phase linear systems which achieve ...
For any m-input, m-output, finite-dimensional, linear, minimum-phase plant P with first Markov param...
This paper uses gap metric analysis to derive robustness and performance margins for feedback linear...
A gap metric of Georgiou and Smith (IEEE Trans. Auto. Control, 42(9):1200--1229, 1997), which does n...
By considering a non-singular performance cost functional, observer backstepping designs and adaptiv...
For m-input, m-output, finite-dimensional, linear systems satisfying the classical assumptions of ad...
In the presence of input and measurement disturbances, an observer and a controller are designed to ...
The nonlinear robust stability theory of Georgiou and Smith (IEEE Trans. Auto. Control, 42(9):1200--...
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.Ca...
By considering a non-singular performance cost functional, observer backstepping designs and adaptiv...
A notion of robust stability is developed for iterative learning control in the context of disturban...
This paper presents the optimal control modification for linear uncertain plants. The Lyapunov analy...
We consider the adaptive tracking problem for a chain of integrators, where the uncertainty is stati...
In this thesis we develop performance bounds for adaptive control designs applicable to functionally...
We consider the construction of adaptive controllers for minimum phase linear systems which achieve ...
We consider the construction of adaptive controllers for minimum phase linear systems which achieve ...
For any m-input, m-output, finite-dimensional, linear, minimum-phase plant P with first Markov param...
This paper uses gap metric analysis to derive robustness and performance margins for feedback linear...
A gap metric of Georgiou and Smith (IEEE Trans. Auto. Control, 42(9):1200--1229, 1997), which does n...
By considering a non-singular performance cost functional, observer backstepping designs and adaptiv...
For m-input, m-output, finite-dimensional, linear systems satisfying the classical assumptions of ad...
In the presence of input and measurement disturbances, an observer and a controller are designed to ...
The nonlinear robust stability theory of Georgiou and Smith (IEEE Trans. Auto. Control, 42(9):1200--...
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.Ca...
By considering a non-singular performance cost functional, observer backstepping designs and adaptiv...
A notion of robust stability is developed for iterative learning control in the context of disturban...
This paper presents the optimal control modification for linear uncertain plants. The Lyapunov analy...
We consider the adaptive tracking problem for a chain of integrators, where the uncertainty is stati...
In this thesis we develop performance bounds for adaptive control designs applicable to functionally...