Parametric optimisation of neural sliding controller for nonlinear coupling tank plant using central force optimisation algorithm

Key Points

• The research optimises the neural sliding controller for better performance in nonlinear coupling systems, indicating significant enhancements.
• Key evidence includes a notable improvement in plant system responsiveness through parametric optimisation techniques.
• Analysis employs a central force optimisation algorithm to effectively address challenges posed by nonlinear dynamics.
• This innovation may enable better control in complex systems; further exploration in practical applications is warranted.