Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Duan, Peihu"'
This paper systematically investigates the performance of consensus-based distributed filtering under mismatched noise covariances. First, we introduce three performance evaluation indices for such filtering problems,namely the standard performance e
Externí odkaz:
http://arxiv.org/abs/2408.06695
How to realize high-level autonomy of individuals is one of key technical issues to promote swarm intelligence of multi-agent (node) systems with collective tasks, while the fully distributed design is a potential way to achieve this goal. This paper
Externí odkaz:
http://arxiv.org/abs/2309.12081
The existence of redundant sensors in collaborative state estimation is a common occurrence, yet their true significance remains elusive. This paper comprehensively investigates the effects and optimal design of redundant sensors in sensor networks t
Externí odkaz:
http://arxiv.org/abs/2306.09215
Cooperative behavior design for multi-agent systems with collective tasks is a critical issue in promoting swarm intelligence. This paper investigates cooperative control for a multi-channel system, where each channel is managed by an agent expected
Externí odkaz:
http://arxiv.org/abs/2305.15195
Compared with linear time invariant systems, linear periodic system can describe the periodic processes arising from nature and engineering more precisely. However, the time-varying system parameters increase the difficulty of the research on periodi
Externí odkaz:
http://arxiv.org/abs/2303.08575
The coupled Riccati equations are cosisted of multiple Riccati-like equations with solutions coupled with each other, which can be applied to depict the properties of more complex systems such as markovian systems or multi-agent systems. This paper m
Externí odkaz:
http://arxiv.org/abs/2211.11247
This paper proposes an event-triggered variational Bayesian filter for remote state estimation with unknown and time-varying noise covariances. After presetting multiple nominal process noise covariances and an initial measurement noise covariance, a
Externí odkaz:
http://arxiv.org/abs/2206.06784
This paper investigates sensor scheduling for state estimation of complex networks over shared transmission channels. For a complex network of dynamical systems, referred to as nodes, a sensor network is adopted to measure and estimate the system sta
Externí odkaz:
http://arxiv.org/abs/2201.06819
For consensus on measurement-based distributed filtering (CMDF), through infinite consensus fusion operations during each sampling interval, each node in the sensor network can achieve optimal filtering performance with centralized filtering. However
Externí odkaz:
http://arxiv.org/abs/2112.06395
In this paper, a cooperative Linear Quadratic Regulator (LQR) problem is investigated for multi-input systems, where each input is generated by an agent in a network. The input matrices are different and locally possessed by the corresponding agents
Externí odkaz:
http://arxiv.org/abs/2107.12596