Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Dipayan Guha

h-index 3 View on Semantic Scholar

We have 3 of 32 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Sep 2026

Design of an LMI‐Based Direct Data‐Driven Controller for Reference Tracking With Experimental Validation

This work newly proposes a direct data‐driven, linear matrix inequality (LMI)‐based reference tracking proportional‐integral (PI) controller for a marginally stable single‐link flexible system. The inherent flexibility of the link, coupled with unmodeled system dynamics, poses significant challenges in achieving accu...

Jayita Saha, Shrabasti Batabyal, Mousumi Mukherjee et al. · 0 citations
Jul 2026

Reinforcement Learning for Predefined‐Time Optimal Tracking Control of Robot Manipulator

This work presents an optimal predefined‐time tracking control framework for a nonlinear robot manipulator subject to exogenous disturbances that blends RL‐based optimal tracking control with predefined‐time robustness, making it well‐suited for Industry 5.0: human‐centric robotic systems.

Seema Chaudhary, Vaishnavi Gupta, Dipayan Guha et al. · 0 citations
#reinforcement learning Sep 2026

Reinforcement Learning for Cooperative Control of Multi‐Agent Systems With Switching Topologies

This paper presents a resilient learning‐based adaptive sliding‐mode consensus control framework for nonlinear multi‐agent systems subject to switching communication topologies and actuator‐side cyberattacks. A distributed sliding‐mode leader‐follower tracking consensus protocol is first developed to ensure robust co...

Amit Anand, Dipayan Guha, S. Purwar · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.