A bi-branchiate robot is presented for the inspection of the high-voltage power transmission lines. With a symmetrical mechanical structure, the robot can roll along the power lines and negotiating all the obstacles i...
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This paper develops an adaptive optimal control for the infinite-horizon cost of unknown nonaffine nonlinear continuous-time systems with control constraints. A recurrent neural network (NN) is constructed to identify...
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In this paper, an H ∞ optimal tracking control scheme based on generalized Hamilton-Jacobi-Isaacs (GHJI) equation is developed for discrete-time (DT) affine nonlinear systems. First, via system transformation, the op...
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In this paper, a new self-learning method using policy iterative adaptive dynamic programming (ADP) is developed to obtain the optimal control scheme of discrete-time nonlinear systems. The iterative ADP algorithm per...
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In this paper, a novel adaptive dynamic programming algorithm based on policy iteration is developed to solve online multi-player non-zero-sum differential game for continuoustime nonlinear systems. This algorithm is ...
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This paper develops an observer-based direct adaptive output feedback control for a class of multi-input-multi-out nonaffine nonlinear discrete-time systems with unknown bounded disturbances. A neural network (NN) obs...
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In this paper, we aim to solve an infinite-time optimal tracking control problem for a class of discrete-time nonlinear systems using iterative adaptive dynamic programming (ADP) algorithm. When the iterative tracking...
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In this paper, we develop a model-free integral policy iteration algorithm to learn online the Nash equilibrium solution of twoplayer zero-sum differential games with completely unknown nonlinear continuous-time dynam...
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With the ubiquity of mobile communication devices, people experiencing traffic jams share real-time information and interact with each other on social media sites, which provide new channels to monitor, estimate and m...
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ISBN:
(纸本)9781479960798
With the ubiquity of mobile communication devices, people experiencing traffic jams share real-time information and interact with each other on social media sites, which provide new channels to monitor, estimate and manage traffic flows. In this paper, we use natural language processing and data mining technologies to extract traffic jam related information from ***, analyze the content of people's talk to discover the “talking point” of people when facing traffic jams, and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.
In this paper, containment control for continuous-time multi-agent systems with multiple interacting leaders is investigated. According to the role each agent plays in the multi-agent team, the agents are classified i...
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ISBN:
(纸本)9781479900305
In this paper, containment control for continuous-time multi-agent systems with multiple interacting leaders is investigated. According to the role each agent plays in the multi-agent team, the agents are classified into two categories: leaders and followers. The containment control problem in this paper is that the leaders converge to a desired formation and the followers move into the convex hull spanned by the leaders’ final positions. A sufficient condition for containment control is that the union of the interaction graphs has a spanning tree frequently enough as the system evolves. It is shown that the followers’ positions in the convex hull are dynamic due to the switching topology. The theoretical results are illustrated by some simulations.
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