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A new fuzzy control approach of STATCOM has been designed according to micro-genetic algorithm in this paper. Initial membership functions and control rules of FLC were fast obtained by fuzzy toolbox of MATLAB and selecting input and output observed signals, membership functions and control rules are optimized simultaneously by micro-GA. Simulation experiments for four machines power system with STATCOM...
The triple inverted pendulum is a nonlinear, dynamic and unsteady system. The traditional control methods of triple inverted pendulum have limited control accuracy and slow responding. This kind of pendulum system is difficult to control due to the inherent instability and nonlinear behavior. In this paper, GA-RBF-ARX model is applied to model triple inverted pendulum based on its input/output data...
A self-constructing fuzzy neural network (SCFNN) based on reinforcement learning is proposed in this study. In the SCFNN, structure and parameter learning are implemented simultaneously. Structure learning is based on uniform division of the input space and distribution of membership function. The parameters are trained by the reinforcement learning based on genetic algorithm. Several simulations...
Under the control object and the structure of control system built, we set the range of parameters and the objective function and get the best parameters of PID control of the system by genetic algorithm, making use of MATLAB we can do the modeling and simulation of the PID control and fuzzy control. The results of simulation show that the dynamic response of fuzzy control is faster than PID control...
This paper presents a traffic signal control method based on ??large phase?? to solve the problem of traffic signal control. And a traffic signal control method using fuzzy system and genetic algorithm (GA) for city single-intersection is studied. The results of simulation indicate that the method can improve control effect and reduce computational cost.
Ball and plate system is a typical multi-variable plant, which is the extension of the traditional ball and beam problems. GA Fuzzy Neural Network Control (GA-FNNC) scheme is introduced for the stabilization problem at the designed point for the ball and plate system. The simulation result is fine, especially near the stabilization point, which embody the nice characters of the GA-FNNC scheme, such...
Obstacle avoidance and path planning are the most important problems in mobile robots. Besides, finding methods for controlling and decreasing the real robot error in path have been another target for researchers investigation. Usual methods have two separated parts, research target and path planning with obstacle avoidance. In this context, a fuzzy logic controller has been constructed in order to...
The fuzzy controller with neural network is proposed in this paper, this system consists of a fuzzy neural network controller and a model identification network, the fuzzy neural network controller is optimized by the offline genetic algorithm of global searching ability, and the online BP algorithm ability of local searching. The detailed control algorithm is given, the algorithm of system identification...
An urban region traffic intelligent coordinated control method based on multi-agent is presented, and the control target is to make bus-weighted vehicle average delay least. A two-layer hierarchical control architecture is used. The high-layer is the zone intelligent controller (ZCA) deciding key intersection and adjusting common cycle length real-time. The low-layer is constructed by intersection...
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