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This paper presents an optimal design of consensus for multi-agent systems with damping term using a directed spanning tree. Compared with the undirected connected topology, the choice of Lyapunov function can be more complicated. Concerning about the directed spanning tree, the consensus of multi-agent systems is guaranteed by analyzing the eigenstructure of the system matrix. Being different from...
A coverage motion planning (CMP) is a kind of coverage path planning, which requires the robot path to fill every grid of the workspace. It is an essential issue in plenty of robotic applications. Safety aware collision-free coverage motion planning of an autonomous vehicle is one of the major challenges in intelligent vehicle systems. Many studies have been focused on the obstacle avoidance to prevent...
This paper proposes an efficient neural network (NN) controller for the tracking control of an autonomous underwater vehicles (AUV) subject to unknown vehicle dynamics and significant uncertainties. The controller is first designed based on the error dynamics by using backstepping technique. Then, the unknown dynamics and uncertainties of the vehicle are handled by introducing a NN with single-layer...
A solution by hybrid algorithms is proposed in this paper for real-time map building and navigation for multiple goals purpose. In real world applications, an intelligent mobile vehicle is required to reach multiple goals with a shortest path that, in this paper, is capable of being implemented in TSP (Traveling Salesman Problem) by a Genetic Algorithm (GA) with minimized overall distance. A D∗-Lite-based...
For a 3-D underwater workspace with a variable ocean current, an integrated multiple autonomous underwater vehicle (AUV) dynamic task assignment and path planning algorithm is proposed by combing the improved self-organizing map (SOM) neural network and a novel velocity synthesis approach. The goal is to control a team of AUVs to reach all appointed target locations for only one time on the premise...
This paper presents a new fuzzy controller for semi-active vehicle suspension systems, which has a significantly fewer number of rules in comparison to existing fuzzy controllers. The proposed fuzzy controller has only nine fuzzy rules, whose performance is equivalent to the existing fuzzy controller with 49 fuzzy rules. The proposed controller with less number of fuzzy rules will be more feasible...
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