SYMAROSCOCNov 15, 2018

Temporal viability regulation for control affine systems with applications to mobile vehicle coordination under time-varying motion constraints

arXiv:1811.06350v13 citations
Originality Incremental advance
AI Analysis

This work addresses the challenge of enforcing temporal state-dependent constraints in control systems, with applications in mobile vehicle coordination, representing an incremental advancement in viability theory.

The paper tackled the problem of ensuring dynamical control systems remain within time-varying constraint sets by developing a temporal viability regulation theory, particularly for control affine systems, and applied it to mobile vehicle coordination under time-varying motion constraints.

Controlled invariant set and viability regulation of dynamical control systems have played important roles in many control and coordination applications. In this paper we develop a temporal viability regulation theory for general dynamical control systems, and in particular for control affine systems. The time-varying viable set is parameterized by time-varying constraint functions, with the aim to regulate a dynamical control system to be invariant in the time-varying viable set so that temporal state-dependent constraints are enforced. We consider both time-varying equality and inequality constraints in defining a temporal viable set. We also present sufficient conditions for the existence of feasible control input for the control affine systems. The developed temporal viability regulation theory is applied to mobile vehicle coordination.

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