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Computing Controlled Invariant Sets of Nonlinear Control-Affine Systems

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arxiv 2304.11757 v1 pith:4US6LT3H submitted 2023-04-23 math.OC cs.SYeess.SY

classification math.OCcs.SYeess.SY
keywords setscomputingcontrolledinvariantprocedurecontrolconvergenceinvariance
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In this paper, we consider the computation of controlled invariant sets (CIS) of discrete-time nonlinear control affine systems. We propose an iterative refinement procedure based on polytopic inclusion functions, which is able to approximate the maximal controlled invariant set to within a guaranteed precision. In particular, this procedure allows us to guarantee the invariance of the resulting near-maximal CIS while also computing sets of control inputs that enforce the invariance. Further, we propose an accelerated version of this procedure which refines the CIS by computing backward reachable sets of individual components of set unions, rather than all at once. This reduces the total number of iterations required for convergence, especially when compared with existing methods. Finally, we compare our methods to a sampling-based approach and demonstrate the improved accuracy and faster convergence.

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  1. Sample Efficient Certification of Discrete-Time Control Barrier Functions

    eess.SY 2025-09 conditional novelty 6.0 of 10

    A Lipschitz-based verification method for discrete-time control barrier functions that reduces required samples by allowing coarser sampling away from the safety boundary, with sample complexity bounds and a numerical...

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