The essential problem of elevator group control is how to manage the operation of the elevators properly and then to reach the top efficiency, and now is receiving increasing attention. The original single objective has developed into multisbjective, i.e. a high efficiency means the shorter waiting time and tunning time, less crowd, less power consumption. A good algorithm should be able to select a proper control policy according to traflic pattem. This paper proposes a new multi-objective elevator group control algorithm based on hzzy logic, describes its stmcture and realization in detail. The algorithm can change the power vector of the multiple objectives automaticaJly .The effectiveness of the algorithm is confirmed by computation result.

This article aims to improve the accuracy of each joint in a manipulator and to ensure the high-speed and real-time requirements. A method called the variational method genetic algorithm radial basis function, which is based on a combination feedback controller, is proposed to solve the optimal control problem. It is proposed a combined feedback with a linear part and a nonlinear part. We reconstruct the manipulator's kinematics and dynamics models with a feedback control. In this model, the optimal trajectory, which was solved by the variation method, is regarded as the desired output. The other one is also established an improved genetic algorithm radial basis function neural network model. The optimal trajectory is rapidly solved by using the desired output and the improved genetic algorithm radial basis function neural network. This method can greatly improve the speed of the calculation and guarantee real-time performance while simultaneously ensuring accuracy.

In high sampling systems, with the increase of sampling frequency, discrete time systems design based on conventional shift operator will push all the poles to edge of the unit circle, therefore causes the instability of the discrete time system model, and hence can not proceed with the controller design. Discrete system design based on Delta operator can avoid this problem and achieve better results. This paper utilizes gradient method to design adaptive system based on Delta Operation model and better result can be seen by comparing with system based on Z conversion under high speed sampling system.