This brief investigates resilient consensus problems of hybrid multi-agent systems containing both continuous-time dynamical agents and discrete-time dynamical agents. A hybrid censoring strategy is developed to reach resilient consensus for cooperative agents in the directed networks in which some Byzantine agents are present. The number, location, and dynamics of Byzantine agents are assumed to be unavailable to the cooperative agents. Sufficient conditions based on network robustness are established when the number of Byzantine agents is locally bounded. They are further extended to cope with resilient scaled hybrid consensus where dictated ratios instead of a common value can be reached. Numerical examples are presented to illustrate th...
This paper presents a distributed protocol based on competitive interaction design method to solve t...
This paper considers the multi-dimensional consensus in networked systems, where some of the agents ...
In this paper, we develop distributed algorithms for achieving resilient consensus via the maximum v...
This paper studies resilient coordinated control over networks with hybrid dynamics and malicious ag...
This letter considers the resilient consensus problem for switched multi-agent systems composed of c...
We investigate the problems of resilient cluster consensus in directed networks under three types of...
The consensus problem with asymmetric confidence intervals considered in this paper is characterized...
A class of Adversary Robust Consensus protocols is proposed and analyzed. These are inherently nonli...
This brief investigates the resilient consensus control for multiagent systems over a time-varying d...
The resilient consensus problem over a class of discrete-time linear multiagent systems is addressed...
This paper investigates resilient consensus problems over directed networks with state constraints. ...
Cooperative coordination in multi-agent systems has been a topic of interest in networked control th...
A class of Adversary Robust Consensus protocols is proposed and analyzed. These are inherently nonli...
This paper presents a distributed resilient consensus protocol based on competitive interaction desi...
This paper considers the resilient interval consensus problems for continuous‐time time‐varying mult...
This paper presents a distributed protocol based on competitive interaction design method to solve t...
This paper considers the multi-dimensional consensus in networked systems, where some of the agents ...
In this paper, we develop distributed algorithms for achieving resilient consensus via the maximum v...
This paper studies resilient coordinated control over networks with hybrid dynamics and malicious ag...
This letter considers the resilient consensus problem for switched multi-agent systems composed of c...
We investigate the problems of resilient cluster consensus in directed networks under three types of...
The consensus problem with asymmetric confidence intervals considered in this paper is characterized...
A class of Adversary Robust Consensus protocols is proposed and analyzed. These are inherently nonli...
This brief investigates the resilient consensus control for multiagent systems over a time-varying d...
The resilient consensus problem over a class of discrete-time linear multiagent systems is addressed...
This paper investigates resilient consensus problems over directed networks with state constraints. ...
Cooperative coordination in multi-agent systems has been a topic of interest in networked control th...
A class of Adversary Robust Consensus protocols is proposed and analyzed. These are inherently nonli...
This paper presents a distributed resilient consensus protocol based on competitive interaction desi...
This paper considers the resilient interval consensus problems for continuous‐time time‐varying mult...
This paper presents a distributed protocol based on competitive interaction design method to solve t...
This paper considers the multi-dimensional consensus in networked systems, where some of the agents ...
In this paper, we develop distributed algorithms for achieving resilient consensus via the maximum v...