Cooperative control of multi-agent systems with time-delays

2018 ◽  
Author(s):  
◽  
Zhentao Xie

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] In this dissertation, we designed two cooperative control algorithms for multi-agent systems with time-delays. The first one is Robust Sliding-Mode Cooperative Control for Multiple Time-Delay Systems with Model Uncertainties and Disturbance, in which, it designed a sliding mode cooperative control law for a general time-delay system with model uncertainty and external disturbance. For the delay-independent system, a sliding surface is constructed and a feasible solution to the LMI based on the Lyapunov stability theory is derived. The model uncertainty term is included in the control design by using a matrix factorization method. The second one is Cooperative Control for Multiple Agents with Time Varying Delay and Model Uncertainties, in which, it designed a cooperative control law for distributed multiple agents to follow a leader consensually under time-varying delay and model uncertainties. Comparing with the first control law design, our first promotion is to design a consensus control law for leader followers under time delay dependent case, which releases the two constraint conditions, which are the flaws in previous works. Our second promotion is that we take the time varying delay into consideration. In addition to the theoretical study, we also did experiment test of the cooperative control algorithms on Quadrotor-UAVs. We tested the system stability and the time-delay effects on systems. The results proved the validity of the designed control algorithms.

2021 ◽  
Vol 14 ◽  
Author(s):  
Wenjun Liu ◽  
Guang Chen ◽  
Alois Knoll

In this paper, we design a robust model predictive control (MPC) controller for vehicle subjected to bounded model uncertainties, norm-bounded external disturbances and bounded time-varying delay. A Lyapunov-Razumikhin function (LRF) is adopted to ensure that the vehicle system state enters in a robust positively invariant (RPI) set under the control law. A quadratic cost function is selected as the stage cost function, which yields the upper bound of the infinite horizon cost function. A Lyapunov-Krasovskii function (LKF) candidate related to time-varying delay is designed to obtain the upper bound of the infinite horizon cost function and minimize it at each step by using matrix inequalities technology. Then the robust MPC state feedback control law is obtained at each step. Simulation results show that the proposed vehicle dynamic controller can steer vehicle states into a very small region near the reference tracking signal even in the presence of external disturbances, model uncertainties and time-varying delay. The source code can be downloaded on https://github.com/wenjunliu999.


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