In this paper, the problem of decentralized adaptive filtering for multi-agent systems with uncertain couplings is formulated and investigated. This problem is challenging due to the mutual dependency of state estimat...
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In this paper, the problem of decentralized adaptive filtering for multi-agent systems with uncertain couplings is formulated and investigated. This problem is challenging due to the mutual dependency of state estimation and coupling estimation. First, the problem is divided into four typical types based on the origin of coupling relations and linearity of the agent dynamics. Then models of the four types are given and the corresponding decentralized adaptive filtering algorithms are designed for the purpose of estimation of the unknown states and couplings which denotes the relations between agents and their neighbor agents in terms of states or outputs simultaneously,with preliminary stability analysis and discussions. For testing the effects of algorithm, with the so-called certainty-equivalence principle, control signals are designed based on the results of state estimation and coupling estimation got by the proposed decentralized adaptive filtering algorithms. Extensive simulations are conducted to verify the effectiveness of considered algorithms..
A new torso design of humanoid robot is proposed as a 3-DOF PKM (Parallel Kinematic Manipulator) structure by using results of a biomimetic analysis of torso in humans and animals. Main characteristics of torso in nat...
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ISBN:
(纸本)9781479970995
A new torso design of humanoid robot is proposed as a 3-DOF PKM (Parallel Kinematic Manipulator) structure by using results of a biomimetic analysis of torso in humans and animals. Main characteristics of torso in nature are presented from which design requirements are outlined for a solution in humanoid robot. The PKM torso is consist of two platforms and four UPU mechanisms. The usefulness of such a biomimetic inspiration is proved by a numerical simulation of the proposed PKM torso in its basic movements.
Real-time bidding(RTB)advertising is a promising business model emerging with the integration of big data and online *** on analysis of Web users' Cookie data,RTB has the potential of identifying target audiences ...
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Real-time bidding(RTB)advertising is a promising business model emerging with the integration of big data and online *** on analysis of Web users' Cookie data,RTB has the potential of identifying target audiences and delivering best matched ads in real time,and also enabling advertisers bid for each matched ad impression via auction-based programmatic buying *** RTB markets,publishers are suppliers of ad impressions(or ad inventory),and typically they have multiple channels to sell these ad *** this paper,we analyze three commonly-used strategies for publishers to allocate the ad inventory,i.e.,the offline guaranteed contract,the online RTB channel,and the hybrid *** explicitly take the quality of ad impressions into consideration,since it is a key parameter for publishers' decision when choosing a proper channel to sell these ad *** establish models to optimize the reserve price for maximizing the revenue of those publishers choosing the online RTB channel and the hybrid *** also compared these three strategies in pursuit of finding the proper strategy for publishers when selling ad impressions with different qualities.
We consider the event-triggered state estimation of a finite-state hidden Markov model with a general stochastic event-triggering condition. Utilizing the change of probability measure approach and the event-triggered...
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ISBN:
(纸本)9781479978878
We consider the event-triggered state estimation of a finite-state hidden Markov model with a general stochastic event-triggering condition. Utilizing the change of probability measure approach and the event-triggered measurement information available to the estimator, analytical expressions for the conditional probability distributions of the states are obtained, based on which the minimum mean square error event-based state estimates are further calculated. We show that the results also cover the case of packet dropout, under a special parameterization of the event-triggering conditions. With the results on state estimation, a closed-form expression of the average sensor-to-estimator communication rate is also presented. The effectiveness of the proposed results is illustrated by a numerical example and comparative simulations.
In this article, a guidance problem for cooperative salvo attack of multiple missiles against a single stationary target is investigated. The proposed guidance law combines the well-known PNG law and cooperative accel...
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In this article, a guidance problem for cooperative salvo attack of multiple missiles against a single stationary target is investigated. The proposed guidance law combines the well-known PNG law and cooperative acceleration command, which is based on the feedback of state error between the current missile and the mean value of participant missiles. The state variable in this paper is used as the approximate calculation of time-to-go. The cooperative acceleration command is designed to adjust the flight path and impact time, which leads the multi-missiles to hit the common target simultaneously. During the engagement, the velocities of missiles are not changed and presetting impact time is not needed. Simulation results show the effectiveness of the proposed guidance law.
This paper is concerned with the optimal state estimation problem under linear dynamic systems when the sampling rates of different sensors are different. The noises of different sensors are cross-correlated and coupl...
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This paper investigates the distributed tracking control problem for multiple Lagrangian systems under a general directed graph where only a portion of the agents have access to the desired time-varying trajectory. To...
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An event-driven on-vehicle intelligent human-computer interface has been proposed to solve the issue about complex on-vehicle human-computer interaction. After the demand analysis of human-computer interaction under t...
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An event-driven on-vehicle intelligent human-computer interface has been proposed to solve the issue about complex on-vehicle human-computer interaction. After the demand analysis of human-computer interaction under the vehicle platform, the framework of intelligent human-computer interface is established, the role of the various modules and workflow in the system are designed, and the reasoning feature which based on fuzzy cognitive map is implemented. The on-vehicle intelligent human-computer interface can help the user to complete the interactive operate which is unrelated to the driving operations. Furthermore, it can analyze the whole information and predictive the information required by the user. At last, it can display the information on the interface. So, the on-vehicle intelligent human-computer interface can both to meet the user's demand for secondary interactive tasks, and can ensure the driving performance and safety.
This paper aims to present a robust attitude control strategy with guaranteed transient performance. Firstly, a Lyapunov-based control law is designed to achieve highperformance attitude control in the absence of dist...
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This paper focuses on the cooperative adaptive fuzzy control of high-order nonlinear multi-agent systems. The communication network is a undirected graph with a fixed topology. Each agent is modeled by a high-order in...
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