AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
A novel event-triggered NN adaptive distributed optimal controller is developed to deal with the problem of frequent updates of the actuator and the achievement of Nash equilibrium is proved via Lyapunov function.
This article focuses on the event-based adaptive distributed optimization problem of uncertain complex multiagent networks subject to unmodeled nonlinearities, uncertain disturbances, and unknown interaction direction, and a novel adaptive distributed optimization controller is constructed to ensure optimal consensus.
This paper investigates the event-triggered optimal hybrid control problem for switched nonlinear multiagent systems (SNMASs) with unknown dynamics and external disturbances, where both the optimal consensus control policy and the optimal switching policy are designed. By casting the control problem as a switched multi...
An observer‐actor‐critic architecture is introduced, where observers are used to estimate unmeasurable states, improving the reliability and accuracy of the system and proving the Lyapunov stability theory to be rigorously proven.
This paper addresses the time-varying formation (TVF) control problem for linear multi-agent systems (MASs) with nonlinear dynamics, actuator bias and loss-of-effectiveness faults, and switching communication topologies with neural network approximation and Lyapunov stability theory.
This paper addresses the problems of high computational burden and excessive communication resource consumption in formation control of a class of nonlinear multi-agent systems subject to switching communication topologies, and proposes a dual-channel dynamic event-triggered iterative learning control algorithm. First,...
Abstract For multi-agent systems with missing iteration batches and randomly varying lengths, a data-driven adaptive iterative learning control strategy based on neural networks is proposed. Considering the situation where the iteration batches of the system vary randomly with the number of iterations, first, an iterat...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.