Intelligent Computing for Sustainable Energy and Environment

<p>Study on Controlling Power Quality Based on Thermodynamics Modeling Method for 6.3kV Power System.- Recursive Model Predictive Control for Fast Varying Dynamic Systems.- Distributed Optimization and State Based Ordinal Potential Games.- Assessment of Texaco Syngas Components Using Extreme Learning Machine Based Quantum Neural Network.- Stochastic Gradient Algorithm for Hammerstein Systems with Piece-Wise Linearities.- Optimization of Train Energy-Efficient Operation Using Simulated Annealing Algorithm.- Artificial Cobweb Intelligent Routing Algorithm for Low-Voltage Power Line Communication.- Material Identification of Particles in Space-Borne Electronic Equipments Based on Principal Component Analysis.- Research and Application of Multiple Model Predictive Control in Ultra-supercritical Boiler-Turbine System.- A Decision Support Framework for Collision Avoidance of Unmanned Maritime Vehicles.</p>