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On Stability of Nonlinear Slowly Time-Varying and Switched Systems
2018 Edition, December 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, we apply a total variation approach to bridge the stability criteria for nonlinear time-varying systems and nonlinear switched systems. In particular, we derive a set of stability conditions applying to both nonlinear time-varying...

Analysis on vibrating forming system considering slowly varying parameter
2011 Edition, Volume 1, August 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Establish symmetrical curve hysteretic forming system model containing slowly varying parameter, solve and analyze by adopting asymptotic method, and carry on experimental study by utilizing specially designed indoor small vibrating forming organization....

Performance lower bounds in stochastic robust and adaptive control
2001 Edition, Volume 46, July 1, 2001 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The fundamental issues of capability of robust and adaptive control in dealing with uncertainty are investigated in stochastic systems. It is revealed that to capture the intrinsic limitations of adaptive control, it is necessary to use...

On stability properties of nonlinear systems with slowly varying inputs
1991 Edition, Volume 36, February 1, 1991 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Systems with slowly varying inputs are discussed as a special class of two-time-scale systems, and singular perturbation results are seen as convenient tools to analyze their properties. A lemma by F.C. Hoppensteadt (Trans. Amer. Math. Soc., vol.123, p...

L/sup p/ analysis of nonsynchronous multirate sampled-data systems: continuity property and robustness
1998 Edition, Volume 6, January 1, 1998 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Focuses on multirate sample-data control systems with nonsynchronous decentralized controllers whose sampler-and-hold elements in different stations update their state independently of each other. The effect of nonsynchronous phase distribution on...

A new approach to robust adaptive control in the presence of unknown and bounded disturbances
1988 Edition, January 1, 1988 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Summary form only given. An adaptive l/sup 1/ controller has been based on the certainty-equivalence approach where at each step the system parameters are estimated and used to implement the controller. At each estimation stage a modeling error is...

Uncertainty, performance, and model dependency in approximate adaptive nonlinear control
1997 Edition, Volume 3, January 1, 1997 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We consider systems satisfying a matching condition which are functionally known up to a L/sup 2/ measure of uncertainty. A modified L/sup 2/ performance measure is given, and the performance of a class of model based adaptive...

The Hinf model matching approach to motor tracking control system
1995 Edition, January 1, 1995 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The H/sup /spl infin// model matching algorithm is proposed for the robust motor tracking control of linear time-varying multi-input, single-output uncertain system. This control method is verified by the system of the permanent magnet DC motor...

Mixed L/sup /spl infin///H/sub /spl infin// suboptimal controllers for SISO continuous-time systems
1993 Edition, January 1, 1993 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A successful controller design paradigm must take into account both model uncertainty and performance specifications. Model uncertainty can be addressed using the H/sub /spl infin// robust control framework. However, this framework cannot accommodate the realistic case...

Designing model-free control law for slowly varying nonlinear systems based on reinforcement learning
2017 Edition, May 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A method to control general slowly varying nonlinear systems based on reinforcement learning is proposed. Based on the Q-leaning algorithm a model-free control signal is designed. However, this control signal is numerical and...

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