The design of suitable sliding manifolds remains one of the main bottlenecks in sliding mode control. This paper proposes a strategy to address this problem for a broad class of nonlinear systems. To this end, we develop an original, systematic methodology to design stabilizing sliding manifolds for a class of nonlinear port-Hamiltonian (pH) systems. In particular, we exploit the pH structure of the system to design a sliding manifold, where the system preserves the desired passivity properties that are useful to stabilize the dynamics of the system on the designed manifold. The proposed modular control design offers significant advantages compared to the individual application of sliding mode control and passivity-based control techniques, effectively simplifying the design and enhancing robustness. Finally, the applicability of the proposed strategy is assessed via simulations.

Combining Sliding Mode and Passivity-Based Control for Manifold Design and Robustness Enhancement

Cucuzzella, Michele;Vacchini, Edoardo;Ferrara, Antonella;
2026-01-01

Abstract

The design of suitable sliding manifolds remains one of the main bottlenecks in sliding mode control. This paper proposes a strategy to address this problem for a broad class of nonlinear systems. To this end, we develop an original, systematic methodology to design stabilizing sliding manifolds for a class of nonlinear port-Hamiltonian (pH) systems. In particular, we exploit the pH structure of the system to design a sliding manifold, where the system preserves the desired passivity properties that are useful to stabilize the dynamics of the system on the designed manifold. The proposed modular control design offers significant advantages compared to the individual application of sliding mode control and passivity-based control techniques, effectively simplifying the design and enhancing robustness. Finally, the applicability of the proposed strategy is assessed via simulations.
2026
The AI, Robotics & Automatic Control category is concerned with resources on the research and techniques of artificial intelligence; that is, the creation of machines that exhibit characteristics of human intelligence (e.g., efficient representation of knowledge, reasoning, deduction, problem solving, heuristics, and analysis of contradictory or ambiguous information). Related AI technologies include expert systems, fuzzy systems, natural language processing, speech and pattern recognition, computer vision, decision-support systems, knowledge-bases, and neural networks. Robotics resources are concerned with the design, construction, and operation of robots. Automatic Control resources cover the design and development of regulating processes and systems that replace the necessity of human intervention. Topics include adaptive control, robust control, discrete-event control, dynamic control, fuzzy control, and optimal control. Cybernetics resources are concerned with the control and communication within and between artificial (machine) systems and living or natural systems.
Esperti anonimi
Inglese
Internazionale
ELETTRONICO
1
15
15
Passivity-based control; port-hamiltonian systems; sliding mode control
https://ieeexplore.ieee.org/document/11371681
6
info:eu-repo/semantics/article
262
Cucuzzella, Michele; Borja, Pablo; Vacchini, Edoardo; Ferrara, Antonella; Scherpen, Jacquelien; Schaft, Arjan Van Der
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1548628
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