… , 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 …

… contributed to the development of self-adaptive control. However, previous studies … prediction
is conducted based on the augmented system states, input variables, and the state space …

… 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 …

… 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. …

… 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 …

… 70 Figure 3-3 Diagram of MPC system based on state space models............. 72 Figure 3-4 …
In this chapter, an OES based MIMO PID controller is introduced. Since an OES is a default …

… self-adaptive system requirements relate to control properties, in this paper we: (1) identify a
set of key properties in control … commonly used to engineer self-adaptive software systems, …

… 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 …

… For the controller gain rectification problem in non-uniform state space exploration, we …
-Fractional-Older PID controller [50] and the Double Q-learning adaptive trajectory tracking …