Distributed non-smooth saturation consistency control method of discontinuous multi-agent system
A technology of a multi-agent system and a control method, applied in the information field, can solve the problems of communication bandwidth and transmission congestion, discontinuous dynamic behavior of multi-agent system and time-varying time delay, etc., to achieve the effect of reducing control costs
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Embodiment 1
[0071] The finite-time global consistency and distributed non-smooth saturation control method of the discontinuous multi-agent system of the present invention, the steps are as follows:
[0072] Step 1: Establish a multi-agent system with discontinuous dynamics and time-varying time-delay and determine its consistency goal.
[0073]
[0074] in Represents the state variable of the i-th agent. The inline matrices D and B are positive definite and negative definite respectively, f(·):R n →R n is a nonlinear discontinuous vector-valued function. The time-varying delay τ(t) is a bounded positive function, 0≤τ(t)≤τ,
[0075] Due to limited communication bandwidth and transmission congestion, the multi-agent system considered in the present invention has discontinuous dynamic behavior and time-varying time delay, so traditional methods for dealing with nonlinear functions, such as Lipschitz conditions (Lipschitz continuous conditions) , sector conditions, QUAD conditions...
Embodiment 2
[0154] This embodiment describes the specific implementation methods of the above two types of controllers in conjunction with a specific multi-agent system, including the following steps:
[0155] Step 1: Select system parameters. In order to be close to the actual working conditions, 4 agents are selected to form a multi-agent system, and each agent has 3 state components, ie N=4, n=3. According to the dynamic function f(·)∈B 2 , without loss of generality, choose f(z)=0.3z+2sign(z), thus q=0.3, w=4; make B=diag[-1,-1.2,-1.4], D=[ 0.1,0.2,0.3], time-varying delay τ(t)=0.03+sin 0.2t. The state evolution graph of an uncontrolled discontinuous multi-agent system is shown in Figure 3(a)-Figure 3(c) shown.
[0156] Step 2: Select Control Configuration Matrix Parameters. To implement distributed control, the following control coupling matrix is chosen:
[0157]
[0158] This means that the communication strength between each agent is different, divided into four levels...
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