Model-Based Control Engineering: Recent Design and Implementations for Varied Applications

This book provides a high-level discussion on model-based control engineering and its various applications.

Progress in industrialization and automation engineering is creating many new opportunities in the autonomous systems industry. With the uncertain and highly nonlinear dynamics of the real world where these new technologies will be deployed, a reliable control strategy is necessary.

Contents
1. Model-Based Control Engineering and Its Significance for Automation Technology and Autonomous Systems
2. Identification of Predicted Load Cluster Pattern Power Generation Parameters Based on Descriptive Time Series Analysis
3. Particle Filter Based Approach for Remaining Useful Life Prediction of High-Speed Shaft Bearing in Wind Turbine Generators
4. Use of Discrete-Time Forecast Modeling to Enhance Feedback Control and Physically Unrealizable Feedforward Control with Applications
5. Optimization of Model Predictive Control Weights for Control of Permanent Magnet Synchronous Motor by Using the Multi Objective Bees Algorithm