Bipartite flocking for multi-agent systems

Bipartite coordination problems on networks of multiple mobile agents

“…The established bipartite coordination results have generalized the developed iterative learning results of multi-agent networks in, e.g., [25]- [33] to much general signed networks. This brings new insights into the bipartite coordination of signed networks, which also renders the existing bipartite coordination results of signed networks in, e.g., [34]- [37] to be achieved with arbitrary high precision. With numerical simulations, we have illustrated the proposed bipartite coordination results.…”

“…7-10 that the bipartite coordination tasks of agents can be achieved with high precision over any specified time interval of interest. The existing bipartite coordination algorithms of signed networks can only guarantee agents to complete the required tasks asymptotically with increasing time (see, e.g., [34]- [37]). In contrast, our algorithms make an improvement in achieving high-precision bipartite coordination tasks by taking advantage of iterative learning methods.…”

“…There are practical networked environments of agents that admit both cooperative and antagonistic interactions among them (see, e.g., [34]- [37]). Such networks are a kind of "singed networks" associated with singed graphs that have edges with both positive and negative weights to reflect the cooperative and antagonistic interactions between agents, respectively.…”

“…Moreover, the bipartite consensus can be developed to other class of coordination problems on signed networks, e.g., see [36] for bipartite formation and [37] for bipartite flocking. However, there have been no studies presented on applying the ILC-based algorithms to deal with highprecision coordination problems on signed networks.…”

Networked predictive control and its simple application into a class of bilinear systems

“…For example, the communication network in a NCS can be located between the reference and the controller, between the controller and the actuator, and/or between the sensor and the controller. In addition, the study of distributed control of autonomous multi-agents has been motivated by broad applications of NCSs including distributed sensor networks [25], distributed computing [26], formation control [27]− [31] and flocking [32]− [34], where one agent is composed of five basic elements: a controlled plant associated with its sensors and actuators, a controller and communication network. According to the scale and quantity of the controlled plants in networked systems, there are two types of networked systems: (1) networked one-agent system, and (2) networked multi-agent systems.…”