1 citations · 1 across the 5 of their papers we have counts for
5 papers
Predictive control barrier functions for piecewise affine systems with non-smooth constraints
Kanghui He, Anil Alan, Shengling Shi +2
Obtaining control barrier functions (CBFs) with large safe sets for complex nonlinear systems and constraints is a challenging task. Predictive CBFs address this issue by using an…
State-action control barrier functions: Imposing safety on learning-based control with low online computational costs
Kanghui He, Shengling Shi, Ton van den Boom +1
Learning-based control with safety guarantees usually requires real-time safety certification and modifications of possibly unsafe learning-based policies. The control barrier func…
Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees
Kanghui He, Shengling Shi, Ton van den Boom +1
Infinite-horizon optimal control of constrained piecewise affine (PWA) systems has been approximately addressed by hybrid model predictive control (MPC), which, however, has comput…
Approximate Dynamic Programming for Constrained Linear Systems: A Piecewise Quadratic Approximation Approach
Kanghui He, Shengling Shi, Ton van den Boom +1
Approximate dynamic programming (ADP) faces challenges in dealing with constraints in control problems. Model predictive control (MPC) is, in comparison, well-known for its accommo…
Max-algebraic hybrid automata: Modelling and equivalences
A. Gupta, B. De Schutter, J. van der Woude +1
This article introduces the novel framework of max-algebraic hybrid automata as a hybrid modelling language in the max-plus algebra. We show that the modelling framework unifies an…