On Parameter Selection of Nonsingular Predefined-time Terminal Sliding Mode With the Fixed-time Convergence Guarantee
Wen Yan

TL;DR
This paper investigates parameter selection for nonsingular predefined-time terminal sliding mode control, addressing issues of convergence accuracy, singularity avoidance, and chattering reduction to enhance control system performance within fixed time.
Contribution
It proposes a novel nonsingular predefined-time sliding mode design with improved parameter selection, singularity avoidance, and chattering reduction, validated through simulations.
Findings
Effective convergence to equilibrium point within predefined time
Successful avoidance of control input singularities
Reduced chattering through novel switching conditions
Abstract
This paper study the parameter selection of predefined-time sliding mode and try to design a general nonsingular predefined-time terminal sliding mode. 1). On parameter selection: Some existing predefined-time sliding modes are designed to focus on the reaching time and ignore the characterization of the equilibrium point i.e. x_e= 0. In actual engineer, the system can only converge to a small neighborhood near the equilibrium point because of the existence of uncertainty i.e. x_e \to 0. The actual equilibrium point should be deduced by taking the limit but not directly solve the equilibrium point. Hence, the actual selection of exponential term is suggested to be not 1 to make system convergence to the equilibrium point within predefined time. 2). On singularity-avoidance: Based on the exponential feature of predefined-time stability systems, a mathematic concept of switching sliding…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdaptive Control of Nonlinear Systems · Stability and Control of Uncertain Systems · Control and Dynamics of Mobile Robots
