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Li Yu

Researcher at Zhejiang University of Technology

Publications -  596
Citations -  35538

Li Yu is an academic researcher from Zhejiang University of Technology. The author has contributed to research in topics: Computer science & Control theory. The author has an hindex of 69, co-authored 502 publications receiving 28761 citations. Previous affiliations of Li Yu include Huazhong University of Science and Technology & Third Military Medical University.

Papers
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Distributed Finite-Horizon Fusion Kalman Filtering for Bandwidth and Energy Constrained Wireless Sensor Networks

TL;DR: A recursively distributed fusion Kalman filter (DFKF) is derived in the linear minimum variance sense and some criteria for the choice of probabilities are derived such that the mean squared errors of the designed DFKF are bounded or convergent.
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Distributed Control of Large-Scale Networked Control Systems With Communication Constraints and Topology Switching

TL;DR: The motivation for this paper is that the communication between the plant network and the controller network can be exploited for the system-wide purpose and strategies such as the event-based communication and logarithmic quantization are applied.
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H∞ filtering of network-based systems with random delay

TL;DR: The H"~ filtering problem is studied for a class of network-based systems with random delay in discrete-time domain and a new model is proposed to describe the filtering system with random sensor-filter delay which may be longer than one sampling period.
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A switched system approach to H∞ control of networked control systems with time-varying delays

TL;DR: A new discrete-time switched system model is proposed to describe the NCS by applying a new working mode of the actuator and considering state feedback controllers, and a sufficient condition is derived for the closed-loop NCS to be exponentially stable and ensure a prescribed H ∞ performance level.
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Event-Triggered Control for the Disturbance Decoupling Problem of Boolean Control Networks

TL;DR: This paper investigates the disturbance decoupling problem (DDP) of Boolean control networks (BCNs) by event-triggered control using the semi-tensor product of matrices, and proposes methods to solve the DDP of BCNs.