InhaltsangabeDevelopments in Stochastic Distribution Control Systems.- Developments in Stochastic Distribution Control Systems.- Structural Controller Design for Stochastic Distribution Control Systems.- Proportional Integral Derivative Control for Continuous-time Stochastic Systems.- Constrained Continuous-time Proportional Integral Derivative Control Based on Convex Algorithms.- Constrained Discrete-time Proportional Integral Control Based on Convex Algorithms.- Two-step Intelligent Optimization Modeling and Control for Stochastic Distribution Control Systems.- Adaptive Tracking Stochastic Distribution Control for Two-step Neural Network Models.- Constrained Adaptive Proportional Integral Tracking Control for Two-step Neural Network Models with Delays.- Constrained Proportional Integral Tracking Control for Takagi-Sugeno Fuzzy Model.- Statistical Tracking Control - Driven by Output Statistical Information Set.- Multiple-objective Statistical Tracking Control Based on Linear Matrix Inequalities.- Adaptive Statistical Tracking Control Based on Two-step Neural Networks with Time Delays.- Fault Detection and Diagnosis for Stochastic Distribution Control Systems.- Optimal Continuous-time Fault Detection Filtering.- Optimal Discrete-time Fault Detection and Diagnosis Filtering.- Conclusions.- Summary and Potential Applications.

Introduction.- Basic Stochastic Distribution Control Systems: Modelling and Controller Design Tools.- PDF Tracking Control with PID Structure for Non-Gaussian Continuous System.- PDF Tracking Control with PID Structure for Non-Gaussian Discrete-time Systems.- Statistic Tracking Control: A Multi-objective Optimization Algorithm.- Optimal Output Probability Density Function Control for Nonlinear ARMAX Stochastic Systems.- FDD for Non-Gaussian Continuous Systems Based on Output PDFs.- Optimal FDD for Non-Gaussian Time-delayed Systems Based on Output PDFs.- Optimal FDD for Non-Gaussian Discrete Systems Based on Output PDFs.- Entropy Optimization Filtering for Fault Isolation of Non-Gaussian Systems.- Conclusions.

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