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Imperial Library
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Index
Cover
Frontmatter
1. Introduction
1. Theory and Formulations
2. Introduction to Nonlinear Programming
3. Hybrid Systems and Hybrid Optimal Control
4. The Minimum Principle and Hamilton–Jacobi–Bellman Equation
2. Methods for Optimal Control
5. Discretization and Integration Schemes for Hybrid Optimal Control Problems
6. Dynamic Programming
7. Indirect Methods for Optimal Control
8. Direct Methods for Optimal Control
3. Numerical Implementations
9. Practical Implementation Aspects of Large-Scale Optimal Control Solvers
4. Modeling of Hybrid Vehicles for Control
10. Modeling Hybrid Vehicles as Switched Systems
5. Applications
11. Advanced Vehicle Calibration
12. Predictive Real-Time Energy Management
13. Optimal Design of Hybrid Powertrain Configurations
6. Appendix
14. Graph Theoretical Fundamentals for Sparse Matrices
Backmatter
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