TL;DR
This paper introduces a new stability concept called triangular stability, enabling nonlinear systems to converge to equilibrium at user-defined finite times, with a controller designed for uncertain systems and validated through simulations.
Contribution
It proposes the novel concept of triangular stability and develops a prescribed-time controller for uncertain nonlinear systems, ensuring convergence within a user-specified time.
Findings
Triangular stability guarantees prescribed-time convergence.
The proposed controller handles uncertainties and disturbances.
Simulations confirm effectiveness for second and fourth-order systems.
Abstract
In this letter, a new notion of stability is introduced, which is called triangular stability. A system is called triangularly stable if the norm of its state vector is bounded by a decreasing linear function of time such that its intersection point with the time axis can be arbitrarily commanded by the user. Triangular stability implies prescribed-time stability, which means that the nonlinear system is converged to zero equilibrium at an arbitrary finite time. A prescribed-time controller with guaranteed triangular stability is developed for normal form nonlinear systems with uncertain input gain, which is able to reject the disturbances and unmodeled dynamics. Numerical simulations are carried out to visualize the results for second and fourth-order systems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
