Functional H_infity Filtering for Descriptor Systems with Monotone nonlinearities
Rishabh Sharma, Mahendra Kumar Gupta, Nutan Kumar Tomar

TL;DR
This paper develops a new method for designing functional H_infinity filters for nonlinear descriptor systems with monotone nonlinearities, using LMIs under a general rank condition, demonstrated on a mechanical system.
Contribution
It introduces a novel LMI-based approach for H_infinity filtering of general descriptor systems with monotone nonlinearities, relaxing regularity assumptions.
Findings
LMI condition guarantees stability and disturbance attenuation
Method successfully applied to a constrained mechanical system
Provides a practical framework for nonlinear descriptor system filtering
Abstract
This paper introduces a novel approach to design of functional H_\infty filters for a class of nonlinear descriptor systems subjected to disturbances. Departing from conventional assumptions regarding system regularity, we adopt a more inclusive approach by considering general descriptor systems that satisfy a rank condition on their coefficient matrices. Under this rank condition, we establish a linear matrix inequality (LMI) as a sufficient criterion ensuring the stability of the error system and constraining the L 2 gain of the mapping from disturbances to errors to a predetermined level. The efficacy of the proposed approach is demonstrated through a practical example involving a simple constrained mechanical system.
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
TopicsControl Systems and Identification · Target Tracking and Data Fusion in Sensor Networks · Advanced Adaptive Filtering Techniques
