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CN110609469B - Consistency control method of heterogeneous time-lag multi-agent system based on PI - Google Patents

Consistency control method of heterogeneous time-lag multi-agent system based on PI Download PDF

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CN110609469B
CN110609469B CN201910581674.8A CN201910581674A CN110609469B CN 110609469 B CN110609469 B CN 110609469B CN 201910581674 A CN201910581674 A CN 201910581674A CN 110609469 B CN110609469 B CN 110609469B
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马倩
王�琦
钱康
郭飞
李恩扬
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Nanjing University of Science and Technology
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Abstract

The invention provides a consistency control method of a heterogeneous time-lag multi-agent system based on PI (proportion integration), which is used for constructing a mathematical model of the heterogeneous time-lag multi-agent system; analyzing information exchange relation among all agents in the multi-agent system, constructing a topological structure of the multi-agent system by using a directed graph, and determining a Laplace matrix of the system; constructing a PI control protocol of each agent, and converting the original heterogeneous time-lag multi-agent system into a reduced-order system through reduced-order change; and selecting controller parameters of a PI control protocol to perform stability control of the reduced-order system, thereby realizing the consistency of the heterogeneous time-lag multi-agent system. The invention considers the time-varying time lag of the heterogeneous multi-agent system and the characteristic that the topological structure is switched, and is more suitable for practical application.

Description

基于PI的异质时滞多智能体系统的一致性控制方法Consistent control method for heterogeneous time-delay multi-agent systems based on PI

技术领域technical field

本发明属于智能控制领域,特别涉及一种基于PI的异质时滞多智能体系统的一致性控制方法。The invention belongs to the field of intelligent control, in particular to a consistency control method of a PI-based heterogeneous time-delay multi-agent system.

背景技术Background technique

异质多智能体系统在生物学、计算机通信、机器人协同控制、智能交通等各个领域有广泛应用,研究异质多智能体系统的一致性有重要意义,成为智能控制领域的热点。文献(Yuezu Lv,Zhongkui Li,Zhisheng Duan,Distributed PI control for consensus ofheterogeneous multiagent systems over directed graphs)指出,将PI控制协议应用到线性异质多智能体系统中实现一致性控制,然而仅针对固定拓扑和无时滞的线性异质多智能体系统进行控制,但是实际应用中,多智能体系统的拓扑结构可能会随着时间的变化而变化,且由于通信带宽的限制,智能体间的通信不可避免的会存在时变时滞,传统的基于PI控制协议的一致性控制方法已不再适用。Heterogeneous multi-agent systems are widely used in various fields such as biology, computer communication, robot cooperative control, and intelligent transportation. Literature (Yuezu Lv, Zhongkui Li, Zhisheng Duan, Distributed PI control for consensus of heterogeneous multiagent systems over directed graphs) pointed out that applying PI control protocol to linear heterogeneous multi-agent systems to achieve consensus control, however, only for fixed topology and However, in practical applications, the topology of the multi-agent system may change with time, and due to the limitation of communication bandwidth, the communication between agents is unavoidable. There will be a time-varying time delay, and the traditional consistency control method based on the PI control protocol is no longer applicable.

发明内容SUMMARY OF THE INVENTION

本发明的目的在于提供一种基于PI的异质时滞多智能体系统的一致性控制方法。The purpose of the present invention is to provide a consistency control method of a PI-based heterogeneous time-delay multi-agent system.

实现本发明目的的技术解决方案为:一种基于PI的异质时滞多智能体系统的一致性控制方法,包括以下步骤:The technical solution for realizing the purpose of the present invention is: a PI-based consistency control method for a heterogeneous time-delay multi-agent system, comprising the following steps:

步骤1、构建异质时滞多智能体系统的数学模型;Step 1. Construct the mathematical model of the heterogeneous time-delay multi-agent system;

步骤2、分析多智能体系统中各智能体之间的信息交换关系,使用有向图构建多智能体系统的拓扑结构,确定系统的拉普拉斯矩阵;Step 2, analyzing the information exchange relationship between the agents in the multi-agent system, using the directed graph to construct the topology structure of the multi-agent system, and determining the Laplacian matrix of the system;

步骤3、构建每个智能体的PI控制协议,通过降阶变化将原异质时滞多智能体系统转化为降阶系统;Step 3. Construct the PI control protocol of each agent, and convert the original heterogeneous time-delay multi-agent system into a reduced-order system by reducing the order change;

步骤4、选取PI控制协议的控制器参数,进行降阶系统的稳定性控制,实现异质时滞多智能体系统的一致性。Step 4: Select the controller parameters of the PI control protocol, and perform the stability control of the reduced-order system, so as to realize the consistency of the heterogeneous time-delay multi-agent system.

本发明与现有技术相比,其显著优点在于:考虑了质多智能体系统的时变时滞,以及拓扑结构是切换的特性,控制更加符合实际应用。Compared with the prior art, the present invention has the significant advantages that the time-varying time delay of the qualitative multi-agent system and the characteristic of switching the topology structure are considered, and the control is more suitable for practical applications.

附图说明Description of drawings

图1为本发明基于PI的异质时滞多智能体系统的一致性控制方法的流程图。FIG. 1 is a flow chart of the consistency control method of the PI-based heterogeneous time-delay multi-agent system of the present invention.

图2为本发明的异质时滞多智能体系统的切换拓扑结构图。FIG. 2 is a switching topology diagram of the heterogeneous time-delay multi-agent system of the present invention.

图3为本发明异质时滞多智能体系统状态xi1(t)的曲线图。FIG. 3 is a graph of the state x i1 (t) of the heterogeneous time-delay multi-agent system of the present invention.

图4为本发明异质时滞多智能体系统状态vi1(t)的曲线图。FIG. 4 is a graph of the state v i1 (t) of the heterogeneous time-delay multi-agent system of the present invention.

图5为本发明异质时滞多智能体系统状态xi2(t)的曲线图。FIG. 5 is a graph of the state x i2 (t) of the heterogeneous time-delay multi-agent system of the present invention.

图6为本发明异质时滞多智能体系统状态vi2(t)的曲线图。FIG. 6 is a graph of the state v i2 (t) of the heterogeneous time-delay multi-agent system of the present invention.

具体实施方式Detailed ways

下面结合附图和具体实施例,进一步说明本发明方案。The solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

本发明针对异质时滞多智能体系统提出一种基于PI的一致性控制方法,通过降阶变化将原多智能体系统转化为降阶系统,将原系统的一致性问题转化为降阶系统的稳定性问题,通过选择合适的PI控制协议参数使得降阶系统稳定,完成异质时滞多智能体系统的一致性控制,如图1所示,分为以下四个步骤:The invention proposes a PI-based consistency control method for the heterogeneous time-delay multi-agent system, which transforms the original multi-agent system into a reduced-order system through order-reduced changes, and converts the consistency problem of the original system into a reduced-order system The stability problem of , by selecting the appropriate PI control protocol parameters to make the reduced-order system stable, complete the consistency control of the heterogeneous time-delay multi-agent system, as shown in Figure 1, which is divided into the following four steps:

步骤1、构建异质时滞多智能体系统的数学模型;Step 1. Construct the mathematical model of the heterogeneous time-delay multi-agent system;

设异质多智能体系统由n(n≥2)个智能体组成,其中有m(m≥1)个是一阶积分器模型,n-m(n-m≥1)个是二阶积分器模型,则每个智能体的动态特性模型为:Suppose a heterogeneous multi-agent system consists of n (n≥2) agents, of which m (m≥1) are first-order integrator models, and n-m (n-m≥1) are second-order integrator models, then The dynamic characteristic model of each agent is:

Figure BDA0002113338360000021
Figure BDA0002113338360000021

其中,In={1,2,…,n},Im={1,2,…,m},In/Im={m+1,m+2,…,n}表示智能体所在的指标集用,xi(t)∈RN,vi(t)∈RN,ui(t)∈RN分别表示第i个智能体的位置状态、速度状态和控制协议,均为N维向量。Among them, I n ={1,2,...,n}, I m ={1,2,...,m}, I n /I m ={m+1,m+2,...,n} represents the agent The index set where x i (t)∈R N , v i (t)∈R N , and ui (t)∈R N represent the position state, speed state and control protocol of the ith agent, respectively. is an N-dimensional vector.

步骤2、分析多智能体系统中各智能体之间的信息交换关系,使用有向图构建多智能体系统的拓扑结构,确定系统的邻接矩阵和拉普拉斯矩阵;Step 2, analyze the information exchange relationship between the agents in the multi-agent system, use the directed graph to construct the topology structure of the multi-agent system, and determine the adjacency matrix and the Laplacian matrix of the system;

用有向图G=(V,E,A)表示多智能体系统的拓扑结构,其中V={1,2,…,n}表示各智能体,

Figure BDA0002113338360000022
表示各智能体间的通信,(aij)N×N表示邻接矩阵,如果(i,j)∈E,aij=1,否则,aij=0。拉普拉斯矩阵定义为:当i=j时,
Figure BDA0002113338360000023
当i≠j时,lij=-aij。The topological structure of a multi-agent system is represented by a directed graph G=(V,E,A), where V={1,2,...,n} represents each agent,
Figure BDA0002113338360000022
represents the communication between agents, (a ij ) N×N represents the adjacency matrix, if (i,j)∈E, a ij =1, otherwise, a ij =0. The Laplace matrix is defined as: when i=j,
Figure BDA0002113338360000023
When i≠j, l ij =-a ij .

步骤3、构建每个智能体的PI控制协议,通过降阶变化将原异质时滞多智能体系统转化为降阶系统;Step 3. Construct the PI control protocol of each agent, and convert the original heterogeneous time-delay multi-agent system into a reduced-order system by reducing the order change;

针对第i个智能体设计的PI控制协议为:The PI control protocol designed for the ith agent is:

Figure BDA0002113338360000031
Figure BDA0002113338360000031

其中,α,β,ki>0是控制器设计参数,0≤τ(t)<d是时间延迟,

Figure BDA0002113338360000032
aij(t)是在t时刻对应的拓扑结构的邻接矩阵;Among them, α, β, k i >0 are the design parameters of the controller, 0≤τ(t)<d is the time delay,
Figure BDA0002113338360000032
a ij (t) is the adjacency matrix of the topological structure corresponding to time t;

Figure BDA0002113338360000033
将控制协议(2)代入多智能体系统(1),整个异质时滞多智能体系统表示为:make
Figure BDA0002113338360000033
Substituting the control protocol (2) into the multi-agent system (1), the entire heterogeneous time-delay multi-agent system is expressed as:

Figure BDA0002113338360000034
Figure BDA0002113338360000034

其中,σ(t):[0,+∞)→S={1,2,…,s}是切换信号,s是所有可能拓扑结构的数量,

Figure BDA0002113338360000035
Figure BDA0002113338360000036
表示在切换信号σ下的拉普拉斯矩阵,L∈Rm×n,L∈R(n-m)×n,K=diag{km+1,km+2,…,kn};where σ(t):[0,+∞)→S={1,2,…,s} is the switching signal, s is the number of all possible topologies,
Figure BDA0002113338360000035
Figure BDA0002113338360000036
represents the Laplacian matrix under the switching signal σ, L ∈ R m×n , L ∈ R (nm)×n , K=diag{km +1 ,km +2 ,…,k n } ;

通过降阶变化,即

Figure BDA0002113338360000037
将原异质时滞多智能体系统转为降阶系统,原异质时滞多智能体系统的一致性问题转化为降阶系统的稳定性问题:By reducing the order changes, that is
Figure BDA0002113338360000037
The original heterogeneous delay multi-agent system is transformed into a reduced-order system, and the consistency problem of the original heterogeneous delay multi-agent system is transformed into the stability problem of the reduced-order system:

Figure BDA0002113338360000038
Figure BDA0002113338360000038

其中,

Figure BDA0002113338360000041
Figure BDA0002113338360000042
E=[-1m-1 Im-1],F=[0n-1 In-1]T,mσ=[a12σ,a13σ,…,a1nσ]T,Mσ=[mσ,mσ,…,mσ]T∈R(n-m)×(n-1)。in,
Figure BDA0002113338360000041
Figure BDA0002113338360000042
E=[-1 m-1 I m-1 ], F=[0 n-1 I n-1 ] T , m σ =[a 12σ ,a 13σ ,...,a 1nσ ] T , M σ =[m σ ,m σ ,…,m σ ] T ∈R (nm)×(n-1) .

步骤4、选取PI控制协议的控制器参数,进行降阶系统的稳定性控制,实现异质时滞多智能体系统的一致性;Step 4, selecting the controller parameters of the PI control protocol, and performing the stability control of the reduced-order system to realize the consistency of the heterogeneous time-delay multi-agent system;

根据Lyapunov稳定性理论,针对降阶系统构建Lyapunov函数V(t),满足

Figure BDA0002113338360000043
即实现降阶系统的稳定性;According to the Lyapunov stability theory, the Lyapunov function V(t) is constructed for the reduced-order system, satisfying
Figure BDA0002113338360000043
That is, to achieve the stability of the reduced-order system;

构建的Lyapunov函数为:The constructed Lyapunov function is:

Figure BDA0002113338360000044
Figure BDA0002113338360000044

其中,P、Q、R均为正定矩阵;Among them, P, Q, R are all positive definite matrices;

分别对V1(t),V2(t),V3(t)求导,可得:Taking the derivative of V 1 (t), V 2 (t), and V 3 (t) respectively, we can get:

Figure BDA0002113338360000045
Figure BDA0002113338360000045

Figure BDA0002113338360000046
Figure BDA0002113338360000046

Figure BDA0002113338360000051
Figure BDA0002113338360000051

整合(6)-(8)式,可得:Integrating equations (6)-(8), we can get:

Figure BDA0002113338360000052
Figure BDA0002113338360000052

其中,ηT(t)=[yT(t) yT(t-τ(t))];Wherein, η T (t)=[y T (t) y T (t-τ(t))];

实现降阶系统稳定性的条件为:The conditions for achieving the stability of the reduced-order system are:

Figure BDA0002113338360000053
Figure BDA0002113338360000053

通过矩阵Schur补引理可知,上式等价于:According to the matrix Schur complement lemma, the above formula is equivalent to:

Figure BDA0002113338360000054
Figure BDA0002113338360000054

综上所述,对于异质时滞多智能体系统,在PI控制协议的作用下,如果存在正定矩阵P、Q、R,使得线性矩阵不等式

Figure BDA0002113338360000061
满足,那么系统能够一致。To sum up, for the heterogeneous time-delay multi-agent system, under the action of the PI control protocol, if there are positive definite matrices P, Q, R, the linear matrix inequality
Figure BDA0002113338360000061
Satisfaction, then the system can be consistent.

实施例Example

考虑由6个智能体组成异质多智能体系统,其中智能体1,2,3为一阶智能体,智能体4,5,6为二阶智能体。切换拓扑如图2所示,在4个拓扑结构中进行切换。从拓扑图Ga开始,每隔0.1s切换到下一个拓扑图,按照Ga→Gb→Gc→Gd→Ga的顺序进行切换。给定控制协议的参数为α=0.2,β=0.01,k1=2,k2=1,k3=3,当τ(t)=0.03|cos(10t)|时,每个智能体的状态都是2维的,并给定系统中各个智能体的状态初值为z(0)=[3,4,2,-2,5,3,4,6,-3,2,-2,-4]T,x(0)=[-4,3,-3,4,1,-2,3,5,-3,1,5,-2]T,v(0)=[2,3,5,-2,6,4]T,系统(1)在控制协议(2)的作用下,各智能体的状态曲线xi1(t),vi1(t)和xi2(t),vi2(t)分别如图3和4所示。从图3和图4中可以看出在有积分项的控制协议作用下,异质时滞多智能系统中各智能体的位置和速度状态都趋于相同,且速度保持0,即渐进地实现了一致。由于控制协议中积分项的作用,最终位置状态消除了稳定误差。Consider a heterogeneous multi-agent system composed of 6 agents, in which agents 1, 2, and 3 are first-order agents, and agents 4, 5, and 6 are second-order agents. The switching topology is shown in Figure 2, and switching is performed in 4 topological structures. Starting from the topology map Ga, switch to the next topology map every 0.1s, and switch in the order of Ga →G b →G c →G d →G a . Given the parameters of the control protocol as α=0.2, β=0.01, k 1 =2, k 2 =1, k 3 =3, when τ(t)=0.03|cos(10t)|, the The states are all 2-dimensional, and the initial value of the state of each agent in the given system is z(0)=[3,4,2,-2,5,3,4,6,-3,2,-2 ,-4] T , x(0)=[-4,3,-3,4,1,-2,3,5,-3,1,5,-2] T ,v(0)=[2 ,3,5,-2,6,4] T , under the action of the control protocol (2) of the system (1), the state curves of each agent x i1 (t), v i1 (t) and x i2 (t ), v i2 (t) are shown in Figures 3 and 4, respectively. It can be seen from Fig. 3 and Fig. 4 that under the control protocol with integral term, the position and velocity state of each agent in the heterogeneous time-delay multi-agent system tend to be the same, and the velocity remains 0, that is, the asymptotic realization agreed. The final position state eliminates stabilization errors due to the integral term in the control protocol.

Claims (2)

1. A consistency control method of a heterogeneous time-lag multi-agent system based on PI is characterized by comprising the following steps:
step 1, constructing a mathematical model of a heterogeneous time-lag multi-agent system;
step 2, analyzing information exchange relation among all agents in the multi-agent system, constructing a topological structure of the multi-agent system by using a directed graph, and determining a Laplace matrix of the system;
step 3, constructing a PI control protocol of each agent, and converting the original heterogeneous time-lag multi-agent system into a reduced-order system through reduced-order change;
step 4, selecting controller parameters of a PI control protocol, performing stability control on a reduced-order system, and realizing consistency of a heterogeneous time-lag multi-agent system;
in step 1, a heterogeneous multi-agent system is set to be composed of n, n is more than or equal to 2 agents, wherein m is more than or equal to 1, and is a first-order integrator model, n-m is more than or equal to 1, and is a second-order integrator model, and then the dynamic characteristic model of each agent is as follows:
Figure FDA0003524872030000011
wherein, In={1,2,…,n},Im={1,2,…,m},In/ImWhere { m +1, m +2, …, n } represents an index set in which the agent is located, and xi(t)∈RN,vi(t)∈RN,ui(t)∈RNRespectively representing the position state, the speed state and the control protocol of the ith agent, wherein the position state, the speed state and the control protocol are N-dimensional vectors;
in step 3, the PI control protocol designed for the ith agent is:
Figure FDA0003524872030000012
wherein, α, β, kiMore than 0 is the design parameter of the controller, 0 is more than or equal to tau (t) and less than d is the time delay,
Figure FDA0003524872030000013
aij(t) is the adjacency matrix of the corresponding topology at time t, xi(t)∈RNIndicating the position state of the ith agent;
order to
Figure FDA0003524872030000014
The whole heterogeneous time-lag multi-agent system is represented as:
Figure FDA0003524872030000021
where σ (t) [0, + ∞) → S ═ 1,2, …, S is the switching signal, S is the number of all possible topologies,
Figure FDA0003524872030000022
Figure FDA0003524872030000023
denotes the Laplace matrix, L, under the switching signal σ∈Rm×n,L∈R(n-m)×n,K=diag{km+1,km+2,…,kn};
By a reduced order change, i.e.
Figure FDA0003524872030000024
The original heterogeneous time-lag multi-agent system is converted into a reduced-order system, and the consistency problem of the original heterogeneous time-lag multi-agent system is converted into the stability problem of the reduced-order system:
Figure FDA0003524872030000025
wherein,
Figure FDA0003524872030000026
Figure FDA0003524872030000027
E=[-1m-1 Im-1],F=[0n-1 In-1]T,mσ=[a12σ,a13σ,…,a1nσ]T,Mσ=[mσ,mσ,…,mσ]T∈R(n-m)×(n-1)
in step 4, according to the Lyapunov stability theory, a Lyapunov function V (t) is constructed for the order-reduced system to meet the requirements
Figure FDA0003524872030000028
Namely, the stability of the reduced-order system is realized, and the constructed Lyapunov function is as follows:
Figure FDA0003524872030000029
p, Q, R are positive definite matrixes;
are respectively paired with V1(t),V2(t),V3(t) derivation, we can obtain:
Figure FDA0003524872030000031
Figure FDA0003524872030000032
Figure FDA0003524872030000033
by integrating the formulae (6) to (8), it is possible to obtain:
Figure FDA0003524872030000034
wherein eta isT(t)=[yT(t) yT(t-τ(t))];
The conditions for realizing the stability of the order-reducing system are as follows:
Figure FDA0003524872030000035
as can be seen from the supplementary theorem of matrix Schur, the above formula is equivalent to:
Figure FDA0003524872030000041
in summary, for the heterogeneous skewed multi-agent system, under the action of the PI control protocol, if the positive definite matrix P, Q, R exists, the linear matrix inequality is made
Figure FDA0003524872030000042
If so, then the system can be consistent.
2. The method for controlling consistency of a PI-based heterogeneous lag multi-agent system according to claim 1, wherein in step 2, the topology of the multi-agent system is represented by a directed graph G ═ (V, E, a), where V ═ 1,2, …, n represents each agent,
Figure FDA0003524872030000043
representing communication between agents, (a)ij)N×NRepresenting the adjacency matrix if (i, j) ∈ E, aij1, otherwise, aijThe laplacian matrix is defined as 0: when the value of i is equal to j,
Figure FDA0003524872030000044
when i ≠ j, lij=-aij
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