Papers
1
Total Citations
3
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About
Dr. Amit Anand is a leading researcher in the field of multi-agent systems (MAS) and advanced control theory, with a specific focus on robust consensus and disturbance rejection. His most-cited work, "Leader-Follower Consensus Control of Multi-Agent Systems With Disturbance by Distributed Sliding Mode Control," addresses a critical challenge in cooperative control: ensuring that a group of autonomous agents can reliably follow a leader despite external disturbances. In this seminal paper, Dr. Anand introduces a novel distributed sliding mode control (DSMC) approach that mathematically guarantees consensus among agents while effectively suppressing unknown perturbations. This contribution is vital for the deployment of MAS in real-world applications such as drone swarms, autonomous vehicle platoons, and robotic teams operating in uncertain environments. With 3 citations, this work is gaining traction as a foundational reference for researchers tackling robust coordination problems. Dr. Anand’s research continues to push the boundaries of distributed control, making him a key figure to watch for students and engineers interested in resilient, scalable autonomous systems.
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