Formation iterative learning control for multi-agent systems with higher-order dynamics
D Meng, Y Jia, J Du, F Yu - 2012 12th International Conference …, 2012 - ieeexplore.ieee.org
D Meng, Y Jia, J Du, F Yu
2012 12th International Conference on Control Automation Robotics …, 2012•ieeexplore.ieee.orgThis paper is devoted to solving formation problems of multi-agent systems with higher-order
dynamics. By using the iterative learning control (ILC) approaches, effective distributed
algorithms are developed to enable all agents in directed graphs to achieve the desired
relative formations perfectly over a finite-time interval. It is shown that the graph theory can
be combined to develop conditions for both asymptotic stability and monotonic convergence
of multi-agent formation ILC. Simulation results are finally given to verify our theoretical …
dynamics. By using the iterative learning control (ILC) approaches, effective distributed
algorithms are developed to enable all agents in directed graphs to achieve the desired
relative formations perfectly over a finite-time interval. It is shown that the graph theory can
be combined to develop conditions for both asymptotic stability and monotonic convergence
of multi-agent formation ILC. Simulation results are finally given to verify our theoretical …
This paper is devoted to solving formation problems of multi-agent systems with higher-order dynamics. By using the iterative learning control (ILC) approaches, effective distributed algorithms are developed to enable all agents in directed graphs to achieve the desired relative formations perfectly over a finite-time interval. It is shown that the graph theory can be combined to develop conditions for both asymptotic stability and monotonic convergence of multi-agent formation ILC. Simulation results are finally given to verify our theoretical study.
ieeexplore.ieee.org
Showing the best result for this search. See all results