Stability of nonlinear system under distributed Lyapunov-based economic model predictive control with time-delay

Engineering Emergence: A Survey on Control in the World of Complex Networks

“…Looking at node dynamics, the possibilities of control are indubitably as many as there are controller types out there in the control field, e.g., [235]; in this survey, we looked at predictive control as a connecting point between NCSs and decentralized control of complex networks. In decentralized schemes, local MPC controllers [236] are applied to energy networks [237], traffic [238,239], economic models [240], water management [241,242], supply chains [243], etc. Not all papers dealing with MPC's decentralized solutions mention complex networks explicitly, but the application processes are usually complex in nature (e.g., traffic networks).…”

Robust event‐triggered distributed min–max model predictive control of continuous‐time non‐linear systems

“…For the robust distributed MPC (DMPC), it is motivated by dynamically decoupled agents, which need to achieve some coordination and perform a cooperation task through a distributed manner in actual industry [4][5][6]. For such networked control systems, the constraints include not only the conventional time-triggered constraints, such as state constraints at sampling times but also communication constraints, such as the limited bandwidth when transmitting data by using wireless networks [7][8][9][10][11]. This wireless transmission can reduce the cabling and communication infrastructure cost to a certain extent.…”