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» Stability Analysis of Fuzzy Control for Nonlinear Systems
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EUSFLAT
2001
104views Fuzzy Logic» more  EUSFLAT 2001»
13 years 9 months ago
Iterative learning fuzzy control
In this paper an iterative learning control design method is depicted, leading to a feedforward controller minimizing tracking error of repetitive trajectories. The approach is ex...
Manuel Olivares, Pedro Albertos, Antonio Sala
AUTOMATICA
2006
90views more  AUTOMATICA 2006»
13 years 7 months ago
An ISS-modular approach for adaptive neural control of pure-feedback systems
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
Cong Wang, David J. Hill, S. S. Ge, Guanrong Chen
AUTOMATICA
2008
126views more  AUTOMATICA 2008»
13 years 7 months ago
Local stability analysis using simulations and sum-of-squares programming
The problem of computing bounds on the region-of-attraction for systems with polynomial vector fields is considered. Invariant subsets of the region-of-attraction are characterize...
Ufuk Topcu, Andrew K. Packard, Peter Seiler
SOCO
2002
Springer
13 years 7 months ago
A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlin
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
Yakov Frayman, Lipo Wang
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
13 years 7 months ago
Input-to-state stability of switched systems and switching adaptive control
In this paper we prove that a switched nonlinear system has several useful ISS-type properties under average dwell-time switching signals if each constituent dynamical system is I...
Linh Vu, Debasish Chatterjee, Daniel Liberzon