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A novel sub-optimal control algorithm based on fuzzy logic system (FLS) to design continuous sliding mode control (CSMC) for uncertain nonlinear systems is presented. By means of combining a fuzzy logic system into sliding mode control, continuous sliding mode control (SMC) can be designed on the derivative of the control signal. The realization of the controller is easier and more convenient than...
Sliding mode-like fuzzy logic control (SMFC) algorithm for nonlinear systems is presented in this paper. Firstly dead zone parameters of sliding mode control (SMC) are self-tuned by proper adaptive laws and then combined into fuzzy logic system (FLS) to compose the opportune fuzzy logic control (FLC), which is equivalent to the pre-designed SMC controller with self-tuning parameters. Robustness and...
Direct adaptive sliding mode tracking control law design method and its application to an inverted pendulum system have been presented in this paper. Firstly, problem formulation and the introduction of dynamic fuzzy logical system (DFLS) were given. Then the sliding mode control (SMC) law was constructed via DFLS which parameters were self-tuned on-line. The adaptive laws were determined so that...
Remote sensing is an important and effective tool for mapping and monitoring wetland vegetation condition and change. Because providing more spatial characteristics except spectral information, high spatial resolution images have become the main source for resources and environmental management and application. However, the conventional pixel-oriented image analysis techniques have much difficult...
A sliding mode-like fuzzy logic control (SMFC) algorithm for a class of high order nonlinear systems is presented. The fuzzy logic controller obtained is equivalent to a sliding mode controller. New adaptive laws for the parameters of the fuzzy logic system (FLS) are adopted in order to self-tune the so-called dead zone parameters. The robustness and the resistance ability to the external perturbations...
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