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Joaquin Carrasco

Researcher at University of Manchester

Publications -  101
Citations -  1588

Joaquin Carrasco is an academic researcher from University of Manchester. The author has contributed to research in topics: Nonlinear system & Monotone polygon. The author has an hindex of 19, co-authored 93 publications receiving 1120 citations. Previous affiliations of Joaquin Carrasco include University of Murcia.

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A passivity-based approach to reset control systems stability

TL;DR: This work gives a stability analysis of reset compensators in feedback interconnection with passive nonlinear systems based on the passivity approach to L2-stability for feedback systems with exogenous inputs and the fact that a reset compensator will be passive if its base compensator is passive.
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Second-order counterexamples to the discrete-time Kalman conjecture

TL;DR: A class of second-order discrete-time systems for which the Kalman conjecture is true provided the nonlinearity is odd, but false in general is discussed, which has strong implications for the analysis of saturated systems.
Journal ArticleDOI

Equivalence between classes of multipliers for slope-restricted nonlinearities

TL;DR: It is shown that several classes are phase-contained within the class of Zames-Falb multipliers, which remains, to date, the widest class of available multipliers for slope-restricted nonlinearities.
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Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring

TL;DR: In this paper , a cooperative navigation strategy based on network graph theory is proposed to coordinate all the connected UAVs in a swarm in the presence of unknown disturbances, and the stability of the aerial swarm system is guaranteed using the Lyapunov approach.
Proceedings ArticleDOI

Equivalence between classes of multipliers for slope-restricted nonlinearities

TL;DR: It is shown that several classes are phase-contained within the class of Zames-Falb multipliers, which remains, to date, the widest class of available multipliers for slope-restricted nonlinearities.