Unified linear time-invariant model predictive control for strong nonlinear chaotic systems
It is well known that an alone linear controller is difficult to control a chaotic system, because intensive nonlinearities exist in such system.Meanwhile, depending closely on a precise mathematical modeling of the system and high computational complexity, model predictive control has its inherent drawback in controlling nonlinear systems.In this