Intelligence-based vehicle active suspension adaptive control systems
This chapter reviews computational-intelligence-involved approaches in active vehicle suspension control systems with a focus on the problems raised in practical implementations by their nonlinear and uncertain properties. After a brief introduction on active suspension models, the chapter explores state-of-the-art in fuzzy inference systems, neural networks, genetic algorithms, and their combination for suspension control issues. Discussion and comments are provided based on the reviewed simulation and experimental results. The chapter is concluded with remarks and future directions.
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