… or predictive control [18,19]. The adaptation techniques of the PID controller based on the
advanced control … After substituting by the system parameters given in Table 4, the state-space …

… , but it relies heavily on the solution accuracy of the state-space model (SSM). Moreover, the
… model cannot self-adaptive the engine. And the impact of the actuator on the control effect is …

… a model-based predictive controller that uses the state-space … PID controller based on
an MPC is designed for the chamber pressure under model mismatch. Employing a self-adaptive …

… Fuzzy-based PID controller can be made adaptive to conquer the human error such that the
… as the controller is working. This article proposes a novel self-adaptive fuzzy PID controller (…

… Actually, most control systems are based on the PID controller which is easy to design and
… models in the form of transfer function or state space representation. (b) optimization for a …

… of the proposed RBF adaptive PID controller. The experiment was … the effectiveness of
self-adaptive PID control strategy. … So there are 5 state variables in the state space model, which …

… it has some control limitation to be applicable in PID controller, … where A,B, C are the
continuous state-space matrices and … Mitani, ‘‘Selfadaptive virtual inertia control-based fuzzy logic …

… The state-space representation of a linear dynamical system is given by (1) and (2). … using
intelligently optimised nonlinear self-adaptive dual fractional-order PD controllers,’’ Int. J. Syst. …

… Nonetheless, PID controller had also presented a comparable performance in … State space
MPC In this study, state space MPC (SS-MPC) was developed to control the maximum reactor …

… or state space models, and are ideal candidates for control applications … PID controller
makes the control system more susceptible to hunt the setpoint erratically [31]. If PID controllers …