Sliding mode control based on RBF neural network for a class of underactuated systems with unknown sensor and actuator faults

Adaptive fault-tolerant boundary vibration control for a flexible aircraft wing against actuator and sensor faults

“…Ji et al (2020) solved an FTC problem for a class of underactuated systems with actuator and sensor faults, but they used an ODE model that is not suitable for distributed parameter systems. As far as we know, few previous researchers have investigated the simultaneous FTC of actuators and sensors for the flexible aircraft wing, which is a nonlinear system that deforms in two coupled directions.…”

An application of Newton-like algorithm for H∞ proportional–integral–derivative controller synthesis of seesaw-cart system

“…It is widely acknowledged that the main challenge in development of such dynamical systems is synthesis of control laws which would not be too complex for practical implementations. Various methods of non-linear control, fuzzy logic, neural networks and so on have been proposed (see, for example, Aktas et al, 2019; Hmidi et al, 2021; Huang et al, 2019; Ji et al, 2020; Jmel et al, 2021; Lin et al, 2018; Mahmoodabadi and Haghbayan, 2020 and references therein). More specifically, the system considered in this paper has only one control variable.…”

“…Furthermore, in many other algorithms, that have been proposed in the literature (see, for example, Hmidi et al, 2021; Ji et al, 2020; Lin et al, 2018; Mahmoodabadi and Haghbayan, 2020 and references therein), to synthesise control laws for stabilisation of pendulum-like dynamical systems, the presence of controller structural constraints numerically and analytically complicates the solution of optimisation problem. However, for the algorithm proposed in Milic et al (2015), the computational problems due to the structure of the controller are avoided.…”