Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This brief is concerned with the design of distributed formation recovery control laws for nonlinear heterogeneous multiagent Euler–Lagrange (EL) systems that are  simultaneously  subject to: 1) diagnostic information imperfections and unreliabilities; 2) parametric uncertainties and external disturbances; and 3) random switching of communication network topologies. The proposed recovery control techniques ensure both state synchronization and set-point tracking of a team of multiagent systems, while the agents have access only to local information. Our results are obtained for both fixed and switching communication network topologies. Distributed control  recovery  solutions for a general class of nonlinear multiagent EL systems have not been investigated earlier in the literature under the above  simultaneous  three realistic scenarios. The simulation results for the attitude control of a network of eight spacecraft tasked in a formation flying mission subject to communication topology switching demonstrate the effectiveness and capabilities of our proposed distributed recovery control strategies.
['Ali Reza Mehrabian', 'Khashayar Khorasani']
I am writing a research paper on a idea Distributed Formation Recovery Control of Heterogeneous Multiagent Euler–Lagrange Systems Subject to Network Switching and Diagnostic Imperfections
[{"from": "human", "value": "I am writing a research paper on a idea Distributed Formation Recovery Control of Heterogeneous Multiagent Euler\u2013Lagrange Systems Subject to Network Switching and Diagnostic Imperfections"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This brief is concerned with the design of distributed formation recovery control laws for nonlinear heterogeneous multiagent Euler\u2013Lagrange (EL) systems that are  simultaneously  subject to: 1) diagnostic information imperfections and unreliabilities; 2) parametric uncertainties and external disturbances; and 3) random switching of communication network topologies. The proposed recovery control techniques ensure both state synchronization and set-point tracking of a team of multiagent systems, while the agents have access only to local information. Our results are obtained for both fixed and switching communication network topologies. Distributed control  recovery  solutions for a general class of nonlinear multiagent EL systems have not been investigated earlier in the literature under the above  simultaneous  three realistic scenarios. The simulation results for the attitude control of a network of eight spacecraft tasked in a formation flying mission subject to communication topology switching demonstrate the effectiveness and capabilities of our proposed distributed recovery control strategies."}]