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Stochastic distribution control (SDC) for non-Gaussian system is a mathematically complicated yet practical problem to solve. The most recent solution involves a radial basis function neural network (RBFNN) framework to approximate non-Gaussian output probability density function (PDF). The dynamic weights of such neural network are controlled within each batch of ILC, using a dedicated adaptive controller...
This paper presents Model predictive control (MPC) of nonlinear hybrid system based on neural network (NN) optimization. Multiple model method is used to modeling of nonlinear hybrid system and these models are combined using Bayes theorem. NN optimization combined gradient NN with recurrent NN is proposed to solve optimization problem of each sample time in MPC. An example of benchmark three spherical...
A hybrid optimization algorithm about chaos search for fuzzy neural networks (FNN) is proposed in this paper. Off-line optimization uses chaos algorithm, chaotic variables are applied to searching for parameters of membership function and weights for FNN, and an approximate optimal FNN is found. On-line optimization used gradient descent algorithm, the original values of gradient descent searching...
Difficulties in water level control of deaerator are caused by strong couples between water level of deaerator and pressure in outlet of condenser pump, which causes unavailability of automatic control with traditional control algorithms. A kind of general-purposed decoupling and control algorithm for time-variant MIMO system with strong coupling is proposed in this paper. Model reference adaptive...
Some currently used algorithms for decoupling and control based on neural network are very complicated and massive online computations and operations are necessary, which causes problems in real-time control and practical implementation. A kind of fault-tolerant decouple and control algorithms for non-linear and time-varying MIMO systems based on neuron adaptive PID and neural network is proposed...
Difficulties in water level control of deaerator lie in the strong couples between water level of deaerator and pressure in outlet of condenser pump, which causes unavailability of automatic control with traditional PID controllers. General problems in traditional decoupling control and PID control schemes are analyzed. Control scheme of combining neuron intelligent regulator with static decoupling,...
Effective control for non-linear MIMO systems with strong couples and time-varying property can not be implemented with traditional decouple and control algorithms. Some currently used algorithms cause problems in real-time control and practical implementation. A kind of fault-tolerant decouple and control algorithm for non-linear and time-varying MIMO systems based on neuron adaptive PID and neural...
To improve the performance of extra-low speed in direct torque control (DTC) system, this paper applies wavelet neural network (WNN) to constitute flux observer by deep researching nonlinear mathematic model of stator flux of asynchronous motor. Furthermore, in order to improve rapidity and real time characteristics of WNN flux observer, the paper applies ant colony algorithm (ACA) with embedded deterministic...
The design of a nonlinear predictive controller, based on a fuzzy model is presented. The Takagi-Sugeno fuzzy model with an adaptive neuro-fuzzy implementation is used and incorporated as a predictor in a predictive controller. An optimization approach with a simplified gradient technique is used to calculate predictions of the future control actions. In this approach, adaptation of the fuzzy model...
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