Design of a Fuzzy Optimization Control Structure for Nonlinear Systems: A Disturbance-Rejection Method

This paper tackles the control problem of nonlinear disturbed polynomial systems using formalism output feedback linearization and a subsequent sliding mode design. aims to ensure asymptotic stability an unstable equilibrium point. The class under investigation has equivalent Byrnes–Isidori normal form, which reveals stable zero dynamics. For case modeling uncertainties and/or process dynamic disturbances, conventional linearizing strategies may fail be efficient. To design robust strategy, meta-heuristic techniques are synthesized with control. resulting guarantees decoupling system from disturbances achieves desired trajectory tracking asymptotically behavior. effectiveness efficiency designed technique were assessed based on benchmark model continuous stirred tank reactor (CSTR) through numerical simulation analysis.