Fuzzy and evolutionary modelling of nonlinear control systems
نویسندگان
چکیده
منابع مشابه
Switching fuzzy modelling and control scheme using T-S fuzzy systems with nonlinear consequent parts
This paper extends the idea of switching T-S fuzzy systems with linear consequent parts to nonlinear ones. Each nonlinear subsystem is exactly represented by a T-S fuzzy system with Lure’ type consequent parts, which allows to model and control wider classes of switching systems and also reduce the computation burden of control synthesis. With the use of a switching fuzzy Lyapunov function, the...
متن کاملAdaptive Fuzzy Dynamic Sliding Mode Control of Nonlinear Systems
Two phenomena can produce chattering: switching of input control signal and the large amplitude of this switching (switching gain). To remove the switching of input control signal, dynamic sliding mode control (DSMC) is used. In DSMC switching is removed due to the integrator which is placed before the plant. However, in DSMC the augmented system (system plus the integrator) is one dimension bi...
متن کاملSECURING INTERPRETABILITY OF FUZZY MODELS FOR MODELING NONLINEAR MIMO SYSTEMS USING A HYBRID OF EVOLUTIONARY ALGORITHMS
In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. Furthermore, se- curing low-level and high-level ...
متن کاملIndirect Adaptive Fuzzy Control for Nonlinear Systems with Online Modelling
This paper presents an indirect adaptive fuzzy control scheme for a class of single-input-single-output (SISO) nonlinear systems. A Takagi-Sugeno (T-S) fuzzy model is employed as a dynamical model of the partially known nonlinear system. Both the structure and the parameters of the T-S model are identified on-line. A T-S model based feedback linearization controller (FLC) is designed and a Lyap...
متن کاملEvolutionary Grey-box Modelling for Nonlinear Systems
A novel grey-box modelling methodology combining advantages of both black and clear-boxes is presented in this paper. The technique explicitly uses physical prior knowledge that enables the underlying plant dynamics and the accompanying partially-known physical parameters to be identified. Through genetic evolution and Boltzmann learning, it enables global and dominant dynamic modelling with lo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical and Computer Modelling
سال: 2001
ISSN: 0895-7177
DOI: 10.1016/s0895-7177(00)00259-4