Abstract: The Takagi–Sugeno (TS) fuzzy control design method has been widely utilized for nonlinear system control due to its ability to approximate complex system behaviors. Traditionally, TS fuzzy ...

Abstract: Inverse reinforcement learning optimal control is under the framework of learner-expert. The learner system can imitate the expert system's demonstrated behaviors and does not require the ...

School of Mechanical Engineering, Shandong Huayu University of Technology, Dezhou, China Introduction: Regenerative braking control technology has been widely implemented in electric vehicles (EVs) to ...

Fuzzy control is based on either expert knowledge or experimental data and, therefore, it possesses intrinsic qualities like robustness and ease of implementation. The mathematical modeling for fuzzy ...

Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous ...