T–S fuzzy model-based tracking control of a one-dimensional manipulator actuated by pneumatic artificial muscles

State-dependent differential Riccati equation to track control of time-varying systems with state and control nonlinearities

“…Industrial switching and fuzzy switching are simple methods for tracking control of nonlinear systems [22]. Adaptive PID controller was also used for tracking control of non-holonomic robots [23].…”

An Integrated Intelligent Nonlinear Control Method for a Pneumatic Artificial Muscle

“…Remark 1: The spool dynamics of the studied valve are ignored. Based on previous studies [7], [8], [22], [27], [30], it can be seen that the system dynamics (Eqs. (1) - (2)) are not only nonlinear functions of the inputs ( , , )…”

“…Nonetheless, neglecting the pressure dynamics can lead to degradation of the control effect in different working conditions. In [23]- [25], the nonlinear models were derived more comprehensively than in [22] to exactly describe the system behavior. After validating the control results, the author confirmed that the control efficiency was not maintained even for the same type of actuators.…”

“…Although better results were achieved, employing linear models in the controller design for high nonlinear plants such as PAM actuators certainly restricts the control efficiency. To overcome this problem, a nonlinear model incorporated with an adaptive fuzzy controller [22] was used to obtain higher control accuracy. Nonetheless, neglecting the pressure dynamics can lead to degradation of the control effect in different working conditions.…”

Robust adaptive fuzzy control design for nearspace vehicle

“…Over the past decade, it has proved to be very useful in many applications [8,10,13,14,19]. It is not surprising that T-S fuzzy models have become one of the most useful control approaches for complex nonlinear systems.…”