Li Qiu

Hong Kong University of Science and Technology

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Wei Chen

Beijing Jiaotong University

Jie Chen

Hunan University

Di Zhao

Tongji University

Sei Zhen Khong

National Sun Yat-sen University

E.J. Davison

University of Toronto

Dan Wang

KTH Royal Institute of Technology

Tongwen Chen

University of Alberta

Guoxiang Gu

Louisiana State University

Weizhou Su

South China University of Technology

Guoping Feng

McGovern Institute for Brain Research

Cooperative Institutions

University of Hong Kong

Hong Kong University of Science and Technology

Chinese Academy of Sciences

University of Minnesota

Tsinghua University

Peking University

Duke University

Duke Medical Center

Massachusetts Institute of Technology

University of Electronic Science and Technology of China

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Gain-Phase Margin of MIMO Control Systems

IFAC-PapersOnLine (2023)

Radik Srazhidinov Jiajin Liang Li Qiu

This paper defines the gain-phase margin of multivariable control systems. This stability margin is studied using the concept of the Davis-Wielandt shell of complex matrices. The lower bound of the gain-phase margin is obtained using the semidefinite relaxation of a parametrized quadratically constrained quadratic program. Numerical examples are given to illustrate the effectiveness of the proposed algorithm.

Phase margin

Quadratic growth

Margin (machine learning)

10.1016/j.ifacol.2023.10.1881

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LQG control of LTI systems with random input and output gains

Wei Chen Jianying Zheng Li Qiu

In this paper, the Linear Quadratic Gaussian (LQG) control of linear time invariant (LTI) systems with random input and output gains is studied. One main novelty of this work is that we study the problem under the framework of channel/controller co-design which allows the control designer to have the additional freedom to design the communication channels. With the channel/controller co-design, the optimal control problem studied is feasible if and only if the system is mean-square stabilizable and detectable. Moreover, we show that the separation principle partially holds under the TCP-like protocols. The optimal controller is an estimated state feedback, combining the optimal state feedback design and the optimal state estimation design. However, there exists certain asymmetry. The optimal state feedback gain does not depend on the estimator design, while the optimal estimator does depend on the optimal state feedback gain.

Separation principle

Optimal projection equations

Optimal design

10.1109/cdc.2012.6426528

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Design of electronic sorting device based on CAN bus and RFID technology

Journal of Shaanxi University of Science & Technology (2014)

Li Qiu

In the many storage management modes of the modern logistics industry,electronic tag picking mode is an effective mode to improve the efficiency and quality of logistics operation.At present,the domestic logistics picking mainly uses the electronic tag picking mode based on RS-485 bus.Aiming at the deficiencies of RS-485 bus,using the field control advantage of CAN bus,combined with the features of intelligent wireless identification technology of RFID,design a kind of electronic tags based on CAN bus and RFID technology.The results show that,The electronic sorting device have higher data error correction ability and data transmission efficiency,it has the very good application prospect in logistics warehouse management.

Mode (computer interface)

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CCS-200/40 Type High Pressure Air Compressor Combination Valve Design Research

Fluid Machinery (2014)

Li Qiu

According to CCS-200 /40 type high pressure compressor structure design features,from the clearance volume,energy loss,structure and economy comprehensive analyses the characteristics of high pressure air valve design,type selection,through the high pressure period of combination valve design calculation,summarize the main points the combined valve design,provide the reference for the same type valve design.

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Optimal symmetric ℋ/sub 2/ controllers for systems with collocated sensors and actuators

Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228) (2003)

Guang‐Hong Yang Li Qiu

This paper addresses the problem of designing the optimal symmetric /spl Hscr//sub 2/ controller for a plant with collocated sensors and actuators but with possibly asymmetric disturbance injection and performance specification. For such a control problem, the generalized plant has a symmetric block representing the transfer matrix from the control input to the measured output. A complete solution to the optimal /spl Hscr//sub 2/ control problem with the symmetric structural constraint is given in terms of the optimal solution to a standard /spl Hscr//sub 2/ model matching problem without the constraint.

Transfer matrix

10.1109/cdc.2001.980291

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A channel/controller co-design approach for infinite-horizon LQR problem with random input gains

Wei Chen Li Qiu

This paper investigates the infinite-horizon linear quadratic regulator (LQR) problem of continuous-time LTI systems with random gains imposed on the input channels. The main novelty of this work originates from the point of view that in networked control, designing the channels and controller jointly often leads to an easier problem and meanwhile achieves better performance than designing them separately. Specifically, we formulate the LQR problem with random input gains as a channel/controller co-design problem. Such co-design can be realized by the twist of channel resource allocation, i.e., the channel capacities can be allocated among the input channels subject to an overall capacity constraint. The LQR problem is shown to be attainable under such co-design if and only if a modified algebraic Riccati equation (MARE) has a mean-square (MS) stabilizing solution. The optimal controller is given by a linear state feedback associated with the MS stabilizing solution. Moreover, a Newton's type iteration is developed for the computation of the MS stabilizing solution to the MARE.

Algebraic Riccati equation

10.1109/icinfa.2013.6720411

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Study and Application of PSO in Heating Network Control

Jisuanji fangzhen (2013)

Li Qiu

Due to the uncertainty of the thermal network energy transfer model and heat load,the heating network system is a typical system with complex,multi- variable,non- linear,time- varying,and large lag in the control study of the heating network system. In this paper,with the research target of heat production and distribution in heat network system,firstly optimization objective function was designed for the target of saving energy. Then according to the weather forecast for outdoor temperature forecast curve,the heat load change curve as a constraint condition was predicted. Finally,the particle swarm intelligent algorithm( PSO) was cited to calculate optimization problems,so that under the user heating demand and the specified time,the minimum value of heating was obtained to determine the thermal station distribution optimal value. This paper completed the simulation with Matlab,and the results prove the effectiveness of this method.

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Bird Flocking Inspired Control Strategy for Multi-UAV Collective Motion

arXiv (Cornell University) (2019)

Xiyuan Liu Li Qiu

UAV collective motion has become a hot research topic in recent years. The realization of UAV collective motion, however, relied heavily on centralized control method and suffered from instability. Inspired by bird flocking theory, a control strategy for UAV collective motion with distributed measure and control methods was proposed in this study. In order to appropriately adjust the inter-agent distance suitable for realization, the control law based on bird flocking theory was optimized, and the convergence of velocities and collision avoidance properties were presented through simulation results. Furthermore, the stable collective motion of two UAVs using visual relative information only with proposed strategy in both indoor and outdoor GPS-denied environments were realized.

Flocking (texture)

Collective motion

10.48550/arxiv.1912.00168

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Cell-type Specific Optogenetic Mice for Dissecting Neural Circuitry Function

PubMed Central (2011)

Shengli Zhao Jonathan T. Ting Hicham Atallah Li Qiu Jie Tan

National Institutes of Health (U.S.) (Ruth L. Kirschstein National Research Service award (F32MH084460))

Neural cell

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Networked stabilization of sampled-data systems over quantized fading channels

S. Wan Li Qiu

In this paper, the networked control system (NCS) in continuous-time with sampled data is considered. The transmission channel is assumed to locate at the plant input, and introduce both logarithmic quantization and fading. The proper definition of channel capacity for such an NCS is presented. The capacity being greater than the topological entropy is found to be the necessary and sufficient condition for stabilizability for the single-input case. For the multi-input case, the sufficiency of the inequality is proved by means of channel resource allocation.

Topological Entropy

10.1109/wcica.2014.7052712

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