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This work presents approaches to modelling and control problems arising from conditions of ever increasing nonlinearity and complexity. It prescribes an approach that covers a wide range of methods being combined to provide multiple model solutions. Many component methods are described, as well as discussion of the strategies available for building a successful multiple model approach.
Model-Based Tracking Control of Nonlinear Systems
Linear and Nonlinear System Modeling
Nonlinear and Constrained Control
Modeling, Identification and Control Methods in Renewable Energy Systems
Renewable Energy Systems
Dynamics and Control of Energy Systems
Nonlinear Approaches in Engineering Applications
Multiple Models Approach in Automation
Modeling, Control, Estimation, and Optimization for Microgrids
Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
Next Generation Smart Grids: Modeling, Control and Optimization