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Mahdi Baradarannia

Researcher at University of Tabriz

Publications -  53
Citations -  589

Mahdi Baradarannia is an academic researcher from University of Tabriz. The author has contributed to research in topics: Control theory & Multi-agent system. The author has an hindex of 8, co-authored 47 publications receiving 325 citations.

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Containment control of heterogeneous linear multi-agent systems

TL;DR: This work modify the conventional output regulation error in such a way that it can handle more than one leader, and introduces a dynamic compensator, based on a new formulation for containment error.
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Prescribed performance distance-based formation control of Multi-Agent Systems

TL;DR: In this paper, the authors presented a novel control protocol for robust distance-based formation control with prescribed performance in which agents are subjected to unknown external disturbances, in which connectivity maintenance and collision avoidance among neighboring agents are also handled by the appropriate design of certain performance bounds that constrain the inter-agent distance errors.
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Prescribed Performance Distance-Based Formation Control of Multi-Agent Systems (Extended Version).

TL;DR: It is argued that the proposed approach increases formation robustness against shape distortions and can prevent formation convergence to incorrect shapes, which is likely to happen in conventional distance-based formation control methods.
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Finite-Time Rigidity-Based Formation Maneuvering of Multiagent Systems Using Distributed Finite-Time Velocity Estimators

TL;DR: Finite time rigidity-based formation maneuvering control of single integrator multiagent systems is considered and it is proved that by using the controller, agents converge to the target formation and track the desired group velocity in finite time.
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Adaptive containment control of nonlinear multi-agent systems with non-identical agents

TL;DR: This paper addresses the containment control problem for a group of non-identical agents, where the dynamics of agents are supposed to be nonlinear with unknown parameters and parameterised by some functions.