Browsing by Subject "Lyapunov methods"
Now showing items 1-12 of 12
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Conference Object
Adaptive bounding techniques for stable neural control systems
(IEEE, 1995)This paper considers the design of stable adaptive neural controllers for uncertain nonlinear dynamical systems with unknown nonlinearities. The Lyapunov synthesis approach is used to develop state-feedback adaptive control ...
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Article
Adaptive control of linear time-varying plants
(1987)In this paper the model reference adaptive control (MRAC) problem of a class of linear time-varying (LTV) plants is considered. The plant parameters are assumed to be smooth, bounded functions of time which satisfy the ...
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Conference Object
Directly computable L2 and Lx performance bounds for Morse's dynamic certainty equivalence adaptive controller
(1995)In this paper we consider a model reference adaptive control scheme where the classical error augmentation and standard tuning error normalization are avoided through the use of Morse's high order tuner. We consider the ...
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Conference Object
Learning laws exponential error convergence for recurrent neural networks
(Publ by IEEE, 1993)In this paper, we propose new learning laws for adjusting the weights of recurrent high order neural networks (RHONN) when they are used to system identification problems. The main advantages of these learning laws over ...
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Conference Object
Maximum Likelihood parameter estimation from incomplete data via the sensitivity equations: The continuous-time case
(IEEE, 1999)The problem of estimating the parameters for continuous-time partially observed systems is discussed. New exact filters for obtaining Maximum Likelihood (ML) parameter estimates via the Expectation Maximization algorithm ...
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Conference Object
Modelling, identification and stable adaptive control of continuous-time nonlinear dynamical systems using neural networks
(Publ by American Automatic Control Council, 1992)Several empirical studies have demonstrated the feasibility of employing neural networks as models of nonlinear dynamical systems. This paper develops the appropriate mathematical tools for synthesizing and analyzing stable ...
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Conference Object
Neural network control of unknown systems
(IEEE, 1998)In this paper, we show that for all unknown Multi-Input (MI) nonlinear system that affected by external disturbances, it is possible to construct a semi-global state-feedback stabilizer when the only information about the ...
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Conference Object
Robust platoon-stable controller design for autonomous intelligent vehicles
(IEEE, 1994)A new variable structure longitudinal controller is designed and analyzed for an autonomous intelligent vehicle. The proposed controller not only guarantees individual vehicle stability but also platoon stability. Moreover, ...
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Article
Robust switching adaptive control of multi-input nonlinear systems
(1998)During the last decade a considerable progress has been made in the design of stabilizing controllers for nonlinear systems with known and unknown constant parameters. New design tools such as adaptive feedback linearization, ...
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Article
Robust switching adaptive control of multi-input nonlinear systems
(2002)During the last decade a considerable progress has been made in the design of stabilizing controllers for nonlinear systems with known and unknown constant parameters. New design tools such as adaptive feedback linearization, ...
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Conference Object
Study of an adaptive fuzzy controller based on the adaptation of relative rule weights
(1994)An adaptive fuzzy controller models the qualitative control actions of a human operator. It is applicable to systems for which explicit mathematical models are not easily obtainable. Qualitative control actions are modeled ...
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Conference Object
A switching controller for multivariable LTI systems with known and unknown parameters
(2002)The design of adaptive controllers for multi-input multi-output (MIMO) linear time invariant (LTI) systems is challenging due to the high dimension and parameterization issues associated with MIMO systems. In this paper ...