Region tracking control for high‐order multi‐agent systems in restricted space

Optimally distributed formation control with obstacle avoidance for mixed‐order multi‐agent systems under switching topologies

“…Some solutions have been reported. As for heuristic algorithm [10] and artificial potential field [11], the obstacle avoidance algorithmic structures are easy to implement, but constructing a grid map needs plenty of time. For non‐grid method of [12, 13], no division of the map is used to minimise the energy of obstacle avoidance for homogeneous systems.…”

Estimator‐based adaptive neural network control of leader‐follower high‐order nonlinear multiagent systems with actuator faults

“…By utilizing an encoding‐decoding scheme and perturbation analysis of matrices, Qiu et al investigated a leaderless and leader‐follower quantized consensus for a kind of high‐order systems with limited communication data rate. Sun et al studied decentralised region tracking control for a group of high‐order nonlinear agents and developed a set of decentralised adaptive neural network (NN) controllers by employing artificial potential functions, NN approximation, and adaptive backstepping techniques. Without employing any function approximators, a predefined performance design approach is proposed in Yoo for distributed containment control of heterogeneous nonlinear strict‐feedback systems; the developed algorithm guaranteed that the containment control errors can be preserved within certain given predefined bounds.…”