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Content Provider | IEEE Xplore Digital Library |
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Author | Teixeira, M.C.M. Silva, N.A.P. Assuncao, E. Machado, E.R.M.D. |
Copyright Year | 2006 |
Description | Author affiliation: UNESP-Sao Paulo State Univ., Ilha Solteira (Teixeira, M.C.M.) |
Abstract | In almost all cases, the goal of the design of automatic control systems is to obtain the parameters of the controllers, which are described by differential equations. In general, the controller is artificially built and it is possible to update its initial conditions. In the design of optimal quadratic regulators, the initial conditions of the controller can be changed in an optimal way and they can improve the performance of the controlled system. Following this idea, a LMI-based design procedure to update the initial conditions of PI controllers, considering the nonlinear plant described by Takagi-Sugeno fuzzy models, is presented. The importance of the proposed method is that it also allows other specifications, such as, the decay rate and constraints on control input and output. The application in the control of an inverted pendulum illustrates the effectively of proposed method. |
Starting Page | 84 |
Ending Page | 91 |
File Size | 398101 |
Page Count | 8 |
File Format | |
ISBN | 0780394887 |
DOI | 10.1109/FUZZY.2006.1681699 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-07-16 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Regulators Control systems Automatic control Optimal control Performance analysis Servomechanisms Transient response Takagi-Sugeno model Fuzzy control Transfer functions |
Content Type | Text |
Resource Type | Article |
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