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This chapter explores hybrid fuzzy–AI control architectures that combine interpretable rule-based control with learning-based adaptation. It begins by reviewing the motivation for hybrid approaches, particularly in situations where fuzzy controllers provide interpretable baseline behavior but may have limitations under...
This chapter surveys the simulation environments and deployment workflows used throughout the book. It begins by examining the role of simulation in the development and evaluation of learning-based control systems. The chapter then compares two primary implementation environments used in the projects presented in the b...
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