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EUSFLAT
2001
104views Fuzzy Logic» more  EUSFLAT 2001»
15 years 5 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
TFS
2008
138views more  TFS 2008»
15 years 4 months ago
Robust Adaptive Backstepping Motion Control of Linear Ultrasonic Motors Using Fuzzy Neural Network
A robust adaptive fuzzy neural network (RAFNN) backstepping control system is proposed to control the position of an - -2motion control stage using linear ultrasonic motors (LUSMs)...
Faa-Jeng Lin, Po-Huang Shieh, Po-Huan Chou
AUTOMATICA
2002
95views more  AUTOMATICA 2002»
15 years 4 months ago
Supervision of integral-input-to-state stabilizing controllers
The subject of this paper is hybrid control of nonlinear systems with large-scale uncertainty. We describe a high-level controller, called a "supervisor", which orchestr...
João P. Hespanha, Daniel Liberzon, A. Steph...
151
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RSP
2002
IEEE
121views Control Systems» more  RSP 2002»
15 years 9 months ago
Rapid Prototyping of Transition Management Code for Reconfigurable Control Systems
This paper presents a rapid prototyping technique that focuses on transition management in hybrid systems. In particular, it integrates hybrid modeling and simulation (for specify...
M. Guler, S. Clements, N. Kejriwal, L. Wills, B. H...
MCSS
2006
Springer
15 years 4 months ago
Optimal input sets for time minimality in quantized control systems
Abstract Limited capacity of communication channels has brought to the attention of many researchers the analysis of control systems subject to a quantized input set. In some funda...
Alessia Marigo