Resource Type

Journal Article 758

Conference Videos 29

Conference Information 26

Year

2024 1

2023 65

2022 87

2021 89

2020 74

2019 74

2018 54

2017 57

2016 47

2015 13

2014 11

2013 10

2012 9

2011 20

2010 15

2009 23

2008 14

2007 28

2006 24

2005 28

open ︾

Keywords

neural network 16

Deep learning 10

Artificial intelligence 9

Neural network 8

simulation 8

Software-defined networking (SDN) 7

Machine learning 6

Reinforcement learning 5

cyberspace 5

cyberspace security 5

6G 4

Adaptive control 4

Multi-agent systems 4

control 4

ANN 3

Access control 3

Boolean control networks 3

Multi-agent system 3

Network security 3

open ︾

Search scope:

排序： Display mode:

Investigation on Network Control for Control and Manipulating System of the Vehicle and Construction Machinery

Li Yunhua,Yang Guilin

Strategic Study of CAE 2005, Volume 7, Issue 9,   Pages 25-29

Abstract:

This paper surveys the development history and the relative key technology of the control and manipulating system in the huge transporter and construction machinery, and proposes a new kind of scheme to realize the transmission of power, motion control and synthesis based on network control by field-bus control. Taking the computer control system of the engineering machinery applied in the transporting of the railroad bridge in the Shanghai suspension magnetic railway as example, the design method and control strategy of the network control system based on the configuration of the field bus control system and PC104 airborne industrial control computer are discussed. The research conclusions provide the new approach to realize the control and manipulation of the huge transporter and construction machinery.

Keywords： construction machinery     control     manipulation     network control    

HTML PDF Collect

Solution of Network-induced Delay Using GPC With Predictive Error Compensation

Wang Dongqing

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 60-65

Abstract:

With regard to the characteristics of uncertain network-induced delay, an idea of using Generalized Predictive Control (GPC) is proposed in networked control systems. To overcome the influence of modeling mismatch and uncertainty of a system, an error predictive model is further built based on BP neural network, and error predictive value is used to compensate output predictive value, which forms a new control algorithm of GPC, and smooth filtering weighted controlled input variable is adopted. Random-delay-time characteristic of data transmission is tested in a networked control system. GPC and GPC with error compensation are compared in the system. GPC with BP error compensation is verified to have better performance in a modeling mismatch system.

Keywords： networked control systems (NCS)     uncertain delay     GPC     neural network    

HTML PDF Collect

Controllability of Boolean control networks with multiple time delays in both states and controls Research Article

Yifeng LI, Lan WANG,liyifeng@cqnu.edu.cn,wanglan202212@126.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 906-915 doi: 10.1631/FITEE.2200618

Abstract: In this paper, the problem of of (BCNs) with multiple s in both states and controls is investigated. First, the problem of BCNs with multiple s in controls is considered. For this problem, a matrix is constructed by defining a new product of matrices, based on which a necessary and sufficient condition is obtained. Then, the of BCNs with multiple s in states is studied by giving a necessary and sufficient condition. Subsequently, based on these results, a matrix for BCNs with multiple s in both states and controls is proposed that provides a concise condition. Finally, two examples are given to illustrate the main results.

Keywords： Boolean control networks     Semi-tensor product of matrices     Controllability     Time delay    

HTML PDF Collect

Newdevelopments in control design techniques of logical control networks Review Articles

Xiang-shan KONG, Shu-ling WANG, Hai-tao LI, Fuad E. ALSAADI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 220-233 doi: 10.1631/FITEE.1900397

Abstract: The control design problem plays a fundamental role in the study of logical control networks (LCNs). This paper presents a detailed survey on new developments in control design techniques of LCNs. First, some preliminary results on the semi-tensor product method and LCNs are reviewed. Then, we move on to some new developments for control design techniques of LCNs, including the reachable set approach, the pinning control technique, the control Lyapunov function approach, the event-triggered control technique, and the sampled-data control technique. Finally, an illustrative example is given to demonstrate the effectiveness of these techniques.

Keywords： Logical control network     Control design     Semi-tensor product of matrices    

HTML PDF Collect

Pressure in Gas-assisted Injection Molding

Ou Changjin

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 27-32

Abstract:

In this study,  an effective control method and strategy based on fuzzy neural network has been developed for gas injection pressure accurate control in gas-assisted injection. A fuzzy neural network controller with five layers and its control algorithm are established.  The learning ability of neural network is used to optimize the rules of the fuzzy logic so as to improve the adaptability of system.  The simulation of the system capability and three segmental injected pressure control are carried out under the environment of MATLAB and the results show that this theoretic model is feasible, and the control system has good characteristics and control action.

Keywords： gas-assisted injection molding     fuzzy neural network     gas-injection pressure control    

HTML PDF Collect

Continuous path control of robot arm in network-based remote control

Zheng Hua, Cong Shuang

Strategic Study of CAE 2008, Volume 10, Issue 10,   Pages 91-95

Abstract:

By discussing the drawbacks of a 2-dof robot arm remote control based on the point-to-point control, the continuous path control method is applied to the joint-coordinate-space-based serial robot remote control system. The condition needed to realize the continuous control is analyzed and the computation formula of the optimal synthesized velocity is given. The actual remote control experiment is implemented, and the continuous and smooth movement results are obtained within the desired time. It's verified that better accuracy in remote system can be obtained by means of continuous path control.

Keywords： remote control     continuous path control     robot arm system    

HTML PDF Collect

Cascading decomposition of Boolean control networks: a graph-theoreticalmethod Research Articles

Yi-feng LI, Jian-dong ZHU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 304-315 doi: 10.1631/FITEE.1900422

Abstract: Two types of cascading decomposition problems of Boolean control networks are investigated using a raph-theoretical method. A new graphic concept called nested perfect equal vertex partition (NPEVP) is proposed. Based on NPEVP, the necessary and sufficient graphic conditions for solvability of the cascading decomposition problems are obtained. Given the proposed graphic conditions, the logical coordinate transformations are constructively obtained to realize the corresponding cascading decomposition forms. Finally, two illustrative examples are provided to validate the results.

Keywords： Boolean control networks     Semi-tensor product     Cascading decomposition     Graphic condition    

HTML PDF Collect

Study of Topology Control Based on Genetic Algorithm in Wireless Sensor Networks

Liu Linfeng,zhuanyanyan,Liu Ye

Strategic Study of CAE 2008, Volume 10, Issue 2,   Pages 66-71

Abstract:

The chief objective of wireless sensor networks designing is to pr ol ong the lifetime of networks, and topology control is the basic support for the objective. Aiming at the defect is that high redundancy of connectivity or low r obu st of structure in traditional methods, the problem was transformed into a model of multi-criteria minimum spanning tree ultimately, and a genetic algorithm wa s designed to deal with the model. A topology control method based on genetic alg orithm was proposed in this paper. The result of simulations suggests a topology with low total power consumption, high robust structure and low contention amon g nodes can be obtained by this method, and the lifetime of networks can be prol onged on the topology.

Keywords： wireless sensor network     topology control     multi-criteria minimum spanning tree problems     genetic algorithm    

HTML PDF Collect

Output tracking of delayed logical control networks withmulti-constraint Research Articles

Ya-ting ZHENG, Jun-e FENG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 316-323 doi: 10.1631/FITEE.1900376

Abstract: In this study, the output tracking of delayed logical control networks (DLCNs) with state and control constraints is further investigated. Compared with other delays, state-dependent delay updates its value depending on the current state values and a pseudo-logical function. Multiple constraints mean that state values are constrained in a nonempty set and the design of the controller is conditioned. Using the semi-tensor product of matrices, dynamical equations of DLCNs are converted into an algebraic description, and an equivalent augmented system is constructed. Based on the augmented system, the output tracking problem is transformed into a set stabilization problem. A deformation of the state transition matrix is computed, and a necessary and sufficient condition is derived for the output tracking of a DLCN with multi-constraint. This condition is easily verified by mathematical software. In addition, the admissible state-feedback controller is designed to enable the outputs of the DLCN to track the reference signal. Finally, theoretical results are illustrated by an example.

Keywords： Logical control networks     Multi-constraint     Output tracking     Stabilization     State-dependent delay     Semi-tensor product    

HTML PDF Collect

Proximal policy optimization with an integral compensator for quadrotor control Research

Huan Hu, Qing-ling Wang,qlwang@seu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-808 doi: 10.1631/FITEE.1900641

Abstract: We use the advanced (PPO) algorithm to optimize the stochastic control strategy to achieve speed control of the “model-free” quadrotor. The model is controlled by four learned s, which directly map the system states to control commands in an end-to-end style. By introducing an integral compensator into the actor-critic framework, the speed tracking accuracy and robustness have been greatly enhanced. In addition, a two-phase learning scheme which includes both offline- and online-learning is developed for practical use. A model with strong generalization ability is learned in the offline phase. Then, the flight policy of the model is continuously optimized in the online learning phase. Finally, the performances of our proposed algorithm are compared with those of the traditional PID algorithm.

Keywords： 强化学习；近端策略优化；四旋翼控制；神经网络    

HTML PDF Collect

Switching-based stabilization of aperiodic sampled-data Boolean control networks with all subsystems unstable Research Articles

Liang-jie SUN, Jian-quan LU, Wai-Ki CHING

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 260-267 doi: 10.1631/FITEE.1900312

Abstract: We aim to further study the global stability of Boolean control networks (BCNs) under aperiodic sampleddata control (ASDC). According to our previous work, it is known that a BCN under ASDC can be transformed into a switched Boolean network (SBN), and further global stability of the BCN under ASDC can be obtained by studying the global stability of the transformed SBN. Unfortunately, since the major idea of our previous work is to use stable subsystems to offset the state divergence caused by unstable subsystems, the SBN considered has at least one stable subsystem. The central thought in this paper is that switching behavior also has good stabilization; i.e., the SBN can also be stable with appropriate switching laws designed, even if all subsystems are unstable. This is completely different from that in our previous work. Specifically, for this case, the dwell time (DT) should be limited within a pair of upper and lower bounds. By means of the discretized Lyapunov function and DT, a sufficient condition for global stability is obtained. Finally, the above results are demonstrated by a biological example.

Keywords： Aperiodic sampled-data control     Boolean control networks     Unstable subsystem     Discretized Lyapunov function     Dwell time    

HTML PDF Collect

Research on fuzzy neural network control method for high-frequency vacuum drying of wood

Jiang Bin,Sun Liping,Cao Jun and Zhou Zheng

Strategic Study of CAE 2014, Volume 16, Issue 4,   Pages 17-20

Abstract:

High- frequency vacuum combined wood drying is a kind of fast drying speed， low energy consumption，little environmental pollution of new drying technology. On the basis of theoretical analysis with high frequency in wood vacuum drying process，the fuzzy controller and fuzzy neural network controller of wood drying are designed in view of the neural network method to establish model of wood drying. The simulation experiment results show that fuzzy neural network control is better，such as the temperature rising fast，high control precision，good stability. The method to realize the automatic control of timber drying process has important research significance.

Keywords： high-frequency vacuum     wood drying     fuzzy neural network    

HTML PDF Collect

Warehouse automation by logistic robotic networks: a cyber-physical control approach Tutorial

Kai Cai,kai.cai@eng.osaka-cu.ac.jp

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-808 doi: 10.1631/FITEE.2000156

Abstract: In this paper we provide a tutorial on the background of using and survey relevant work in the literature. We present a new cyber-physical control method that achieves safe, deadlock-free, efficient, and adaptive behavior of multiple robots serving the goods-to-man logistic operations. A central piece of this method is the incremental supervisory control design algorithm, which is computationally scalable with respect to the number of robots. Finally, we provide a case study on 30 robots with changing conditions to demonstrate the effectiveness of the proposed method.

Keywords： 离散事件系统；信息物理系统；机器人网络；仓库自动化；物流    

HTML PDF Collect

Dynamic Spectrum Control-Assisted Secure and Efficient Transmission Scheme in Heterogeneous Cellular Networks Article

Chenxi Li, Lei Guan, Huaqing Wu, Nan Cheng, Zan Li, Xuemin Sherman Shen

Engineering 2022, Volume 17, Issue 10,   Pages 220-231 doi: 10.1016/j.eng.2021.04.019

Abstract:

Heterogeneous cellular networks (HCNs) are envisioned as a promising architecture to provide seamless wireless coverage and increase network capacity. However, the densified multi-tier network architecture introduces excessive intra- and cross-tier interference and makes HCNs vulnerable to eavesdropping attacks. In this article, a dynamic spectrum control (DSC)-assisted transmission scheme is proposed for HCNs to strengthen network security and increase the network capacity. Specifically, the proposed DSC-assisted transmission scheme leverages the idea of block cryptography to generate sequence families, which represent the transmission decisions, by performing iterative and orthogonal sequence transformations. Based on the sequence families, multiple users can dynamically occupy different frequency slots for data transmission simultaneously. In addition, the collision probability of the data transmission is analyzed, which results in closed-form expressions of the reliable transmission probability and the secrecy probability. Then, the upper and lower bounds of network capacity are further derived with given requirements on the reliable and secure transmission probabilities. Simulation results demonstrate that the proposed DSC-assisted scheme can outperform the benchmark scheme in terms of security performance. Finally, the impacts of key factors in the proposed DSC-assisted scheme on the network capacity and security are evaluated and discussed.

Keywords： Heterogeneous cellular networks     Dynamic spectrum control     Transmission security     Efficient data transmission    

HTML PDF Collect

Pricing Based Adaptive Call Admission Control Algorithm for Wireless Networks

Zhang Xue

Strategic Study of CAE 2006, Volume 8, Issue 4,   Pages 32-38

Abstract:

In order to efficiently and effectively control the use of wireless network resources, in this paper, according to the characteristic of adaptive multimedia applications in which bandwidths can be adjusted dynamically, and the influence of pricing on the users' behavior, an adaptive admission control algorithm integrated with pricing is proposed. The algorithm, in with the price is adjusted dynamically based on the current network conditions, is fit for the multi-priorilies services. Attempt is tried to make best balance between the efficiency and simplicity for the pricing scheme. Comparison of the performance of the proposed approach is made with the corresponding results of conventional systems where pricing is not taken into consideration in CAC process. The performance results verify the considerable improvement achieved by the integration of pricing with CAC in wireless networks.

Keywords： wireless networks     adaptive call admission control     microeconomic theory     pricing     connection level QoS    

HTML PDF Collect

Title Author Date Type Operation

Investigation on Network Control for Control and Manipulating System of the Vehicle and Construction Machinery

Li Yunhua,Yang Guilin

Journal Article

Solution of Network-induced Delay Using GPC With Predictive Error Compensation

Wang Dongqing

Journal Article

Controllability of Boolean control networks with multiple time delays in both states and controls

Yifeng LI, Lan WANG,liyifeng@cqnu.edu.cn,wanglan202212@126.com

Journal Article

Newdevelopments in control design techniques of logical control networks

Xiang-shan KONG, Shu-ling WANG, Hai-tao LI, Fuad E. ALSAADI

Journal Article

Pressure in Gas-assisted Injection Molding

Ou Changjin

Journal Article

Continuous path control of robot arm in network-based remote control

Zheng Hua, Cong Shuang

Journal Article

Cascading decomposition of Boolean control networks: a graph-theoreticalmethod

Yi-feng LI, Jian-dong ZHU

Journal Article

Study of Topology Control Based on Genetic Algorithm in Wireless Sensor Networks

Liu Linfeng,zhuanyanyan,Liu Ye

Journal Article

Output tracking of delayed logical control networks withmulti-constraint

Ya-ting ZHENG, Jun-e FENG

Journal Article

Proximal policy optimization with an integral compensator for quadrotor control

Huan Hu, Qing-ling Wang,qlwang@seu.edu.cn

Journal Article

Switching-based stabilization of aperiodic sampled-data Boolean control networks with all subsystems unstable

Liang-jie SUN, Jian-quan LU, Wai-Ki CHING

Journal Article

Research on fuzzy neural network control method for high-frequency vacuum drying of wood

Jiang Bin,Sun Liping,Cao Jun and Zhou Zheng

Journal Article

Warehouse automation by logistic robotic networks: a cyber-physical control approach

Kai Cai,kai.cai@eng.osaka-cu.ac.jp

Journal Article

Dynamic Spectrum Control-Assisted Secure and Efficient Transmission Scheme in Heterogeneous Cellular Networks

Chenxi Li, Lei Guan, Huaqing Wu, Nan Cheng, Zan Li, Xuemin Sherman Shen

Journal Article

Pricing Based Adaptive Call Admission Control Algorithm for Wireless Networks

Zhang Xue

Journal Article