Table of Contents
Fetching ...

Tight displacement-based formation control under bounded disturbances. A set-theoretic perspective

Vlad-Matei Angheluţă, Bogdan Gheorghe, Daniel Ioan, Ionela Prodan, Florin Stoican

Abstract

This paper investigates the synthesis of controllers for displacement-based formation control in the presence of bounded disturbances, specifically focusing on uncertainties originating from measurement noise. While the literature frequently addresses such problems using stochastic frameworks, this work proposes a deterministic methodology grounded in set-theoretic concepts. By leveraging the principles of set invariance, we adapt the theory of ultimate boundedness to the specific dynamics of displacement-based formations. This approach provides a rigorous method for analyzing the system's behavior under persistent disturbances. Furthermore, this set-theoretic framework allows for the optimized selection of the proposed control law parameters to guarantee pre-specified performance bounds. The efficacy of the synthesized controller is demonstrated in the challenging application of maintaining tight formations in a multi-obstacles environment.

Tight displacement-based formation control under bounded disturbances. A set-theoretic perspective

Abstract

This paper investigates the synthesis of controllers for displacement-based formation control in the presence of bounded disturbances, specifically focusing on uncertainties originating from measurement noise. While the literature frequently addresses such problems using stochastic frameworks, this work proposes a deterministic methodology grounded in set-theoretic concepts. By leveraging the principles of set invariance, we adapt the theory of ultimate boundedness to the specific dynamics of displacement-based formations. This approach provides a rigorous method for analyzing the system's behavior under persistent disturbances. Furthermore, this set-theoretic framework allows for the optimized selection of the proposed control law parameters to guarantee pre-specified performance bounds. The efficacy of the synthesized controller is demonstrated in the challenging application of maintaining tight formations in a multi-obstacles environment.

Paper Structure

This paper contains 10 sections, 7 theorems, 39 equations, 1 figure.

Key Result

Proposition 1

Let $A = V \Lambda V^{-1}$ be the Jordan canonical decomposition of $A$. Then, the sets with notation are robust positively invariant (RPI) for the dynamics eq:linear_dynamics.

Figures (1)

  • Figure 1: Tight formation in a world with obstacles

Theorems & Definitions (16)

  • Proposition 1
  • proof
  • Lemma 1
  • proof
  • Corollary 1
  • proof
  • Remark 1
  • Proposition 2
  • proof
  • Corollary 2
  • ...and 6 more