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This paper concerns with the optimal consensus problem of multi-agent networks under imperfect communication. With the network issues, we resort to an integrated scheme of the standard gossip algorithm and the subgradient method for multiagent cooperative control. Under the proposed control strategy, agents are supposed to transfer desirable information through a quantized mechanism, and the dithering...
A quantized consensus protocol for heterogeneous multi-agent systems composed of first-order and second-order agents is proposed. The sufficient conditions for achieving consensus and the final consensus values are obtained respectively. Communication topology contains spanning tree and some conditions can be satisfied on control parameters and sampling period, then consensus can be achieved. When...
In this paper, the state-feedback control problem is considered for a class of nonlinear singular systems involving in signal quantization, data packet dropout and state delays. The nonlinear singular system is described by a T-S fuzzy model. The random packet loss is modeled as a Bernoulli process and the quantized measurement signals are dealt with by utilizing the sector bound method. By using...
In order to accommodate the requirement of digital control design, this paper investigates the consensus problem of leader-following multi-agent systems (MAS) by using the robust learning control approach (RLC), and also gives a visible distributed quantized protocol to update the dynamic systems. A quantizer is firstly proposed and employed when designing an iterative learning control algorithm....
In this paper, a consensus problem for nonlinear multi-agent systems is considered in the presence of quantized measurement. The dynamic of each agent is first-order linearly parameterized system with non-identical unknown parameter. It is known that the consensus problem for linear multi-agent systems can be solved based on node state information, and equivalent results can be obtained via edge Laplancian...
In this paper, continuous-time multi-agent consensus problem with quantization and communication delays is investigated. Based on the non-smooth analysis, convergence results are derived for the proposed model with uniform quantizers. It is pointed out that the multi-agent network will achieve consensus asymptotically under the proposed distributed protocols. A numerical example is provided to demonstrate...
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