Combined adaptive and variable structure control for constrained robots
Automatica (Journal of IFAC)
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Control Systems with Actuator Saturation: Analysis and Design
Control Systems with Actuator Saturation: Analysis and Design
Barrier Lyapunov Functions for the control of output-constrained nonlinear systems
Automatica (Journal of IFAC)
Adaptive neural control for output feedback nonlinear systems using a barrier Lyapunov function
IEEE Transactions on Neural Networks
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
Extremum-seeking control of state-constrained nonlinear systems
Automatica (Journal of IFAC)
Hi-index | 22.14 |
This paper presents control design for strict feedback nonlinear systems with time-varying output constraints. An asymmetric time-varying Barrier Lyapunov Function (BLF) is employed to ensure constraint satisfaction. By allowing the barriers to vary with the desired trajectory in time, the initial condition requirements are relaxed. Through a change of tracking error coordinates, we eliminate the explicit dependence of the BLF on time, thereby simplifying the analysis of constraint satisfaction. We show that asymptotic output tracking is achieved without violation of the output constraint, and also quantify the transient performance bound as a function of time that converges to zero. To handle parametric model uncertainty, we present an adaptive controller that ensures constraint satisfaction during the transient phase of online parameter adaptation. The performance of the proposed control is illustrated through a simulation example.