Journal of Optimization Theory and Applications
A Smooth Converse Lyapunov Theorem for Robust Stability
SIAM Journal on Control and Optimization
Inverse Optimality in Robust Stabilization
SIAM Journal on Control and Optimization
Robust time-optimal control of constrained linear systems
Automatica (Journal of IFAC)
Computational Complexity of Lyapunov Stability Analysis Problems for a Class of Nonlinear Systems
SIAM Journal on Control and Optimization
Any Domain of Attraction for a Linear Constrained System is a Tracking Domain of Attraction
SIAM Journal on Control and Optimization
Feedback Stabilization and Lyapunov Functions
SIAM Journal on Control and Optimization
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
Survey Research on gain scheduling
Automatica (Journal of IFAC)
On the minimax reachability of target sets and target tubes
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Reference governor for constrained systems with time-varying references
Robotics and Autonomous Systems
Barrier Lyapunov Functions for the control of output-constrained nonlinear systems
Automatica (Journal of IFAC)
Proxy-based sliding mode control: a safer extension of PID position control
IEEE Transactions on Robotics
Brief paper: An analysis of signal transformation approach to triangular waveform tracking
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Linear control of time-domain constrained systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Predictive switching supervisory control of persistently disturbed input-saturated plants
Automatica (Journal of IFAC)
A constrained control strategy for the shape control in thermonuclear fusion tokamaks
Automatica (Journal of IFAC)
Hi-index | 22.17 |
This paper proposes a new approach to reference governor design. As in prior literature, the governor accepts input commands and modifies their evolution so that specified pointwise-in-time constraints on state and control variables are satisfied. The new approach applies to general discrete-time and continuous-time nonlinear systems with uncertainties. It relies on safety properties provided by sublevel sets of equilibria-parameterized functions. These functions need not be Lyapunov functions, and the corresponding sublevel sets need not be positively invariant. Technical conditions that capture the bare essentials of what is needed are identified and the usual desirable properties of reference governors are established. The new approach significantly broadens the class of methods available for constructing the nonlinear function that is required in the implementation of the reference governors. This advantage is illustrated in a nonlinear control problem where off-line, computer-based simulation is the basis for constructing the nonlinear function.