Resource Type

Journal Article 1056

Conference Videos 36

Conference Information 29

Year

2024 1

2023 80

2022 108

2021 110

2020 89

2019 91

2018 75

2017 86

2016 70

2015 19

2014 17

2013 19

2012 14

2011 23

2010 21

2009 28

2008 24

2007 45

2006 38

2005 42

open ︾

Keywords

neural network 16

genetic algorithm 12

Deep learning 11

Artificial intelligence 10

Neural network 8

Reinforcement learning 8

simulation 8

Machine learning 7

Software-defined networking (SDN) 7

Optimization 5

cyberspace 5

cyberspace security 5

6G 4

Adaptive control 4

Genetic algorithm 4

Multi-agent system 4

Multi-agent systems 4

control 4

optimization 4

open ︾

Search scope:

排序： Display mode:

A fuzzy integrated congestion-aware routing algorithm for network on chip Research Articles

Shahrouz Yasrebi, Akram Reza, Mohammad Nikravan, Seena Vazifedan,a.reza@qodsiau.ac.ir,a.ak.reza@gmail.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5,   Pages 615-766 doi: 10.1631/FITEE.2000069

Abstract: (NoC) is an infrastructure providing a communication platform to multiprocessor chips. Furthermore, the wormhole-switching method, which shares resources, was used to increase its efficiency; however, this can lead to congestion. Moreover, dealing with this congestion consumes more energy and correspondingly leads to increase in power consumption. Furthermore, consuming more power results in more heat and increases thermal fluctuations that lessen the life span of the infrastructures and, more importantly, the network’s performance. Given these complications, providing a method that controls congestion is a significant design challenge. In this paper, a is presented to enhance the NoC’s performance when facing congestion. To avoid congestion, the proposed algorithm employs the occupied input buffer and the total occupied buffers of the neighboring nodes along with the maximum possible path diversity with minimal path length from instant neighbors to the destination as the selection parameters. To enhance the path selection function, the uncertainty of the algorithm is used. As a result, the average delay, power consumption, and maximum delay are reduced by 14.88%, 7.98%, and 19.39%, respectively. Additionally, the proposed method enhances the throughput and the total number of packets received by 14.9% and 11.59%, respectively. To show the significance, the proposed algorithm is examined using transpose traffic patterns, and the average delay is improved by 15.3%. The average delay is reduced by 3.8% in TMPEG-4 (treble MPEG-4), 36.6% in QPIP (quadruplicate PIP), and 20.9% in TVOPD (treble VOPD).

Keywords： 片上网络；路由算法；拥塞控制；模糊逻辑    

HTML PDF Collect

An approach to bandwidth management based on fuzzy logic

Li Zuxin,Wang Wanliang,Lei Bicheng,Chen Huiying

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 104-111

Abstract:

 In networked control systems(NCSs),a fuzzy logic modulator,which is based on mapping relationship of one-dimensional input and one-dimensional output,is designed for the dynamic management of control systems' bandwidth. By adjusting a nonlinear offset factor in the fuzzy logic modulator,the control performance and requirement of bandwidth can be further improved.Moreover,the upper and lower bound of the assignable bandwidth,which guarantee the system's stability,are evaluated in terms of linear matrix inequalities and the restrained resource conditions.Finally, normalizable criterions of the quality of control (QoC) and requirement of bandwidth (RoB) are also defined,which can estimate the performance of the whole networked control systems. On those criterions, the proposed algorithm, namely fuzzy bandwidth management (FBM) , and traditional fixed bandwidth allocation (FBA) are compared. The results of simulation highlight that the proposed algorithm can significantly improve performance and save more bandwidth of control loop than the other one.

Keywords： fuzzy bandwidth management     networked control systems     quality of control     requirement ofbandwidth    

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

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

A highly efficient reconfigurable rotation unit based on an inverse butterfly network Article

Chao MA, Zi-bin DAI, Wei LI, Hai-juan ZANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1784-1794 doi: 10.1631/FITEE.1601265

Abstract: We propose a reconfigurable control-bit generation algorithm for rotation and sub-word rotation operations. The algorithm uses a self-routing characteristic to configure an inverse butterfly network. In addition to being highly parallelized and inexpensive, the algorithm integrates the rotation-shift, bi-directional rotation-shift, and sub-word rotation-shift operations. To our best knowledge, this is the first scheme to accommodate a variety of rotation operations into the same architecture. We have developed the highly efficient reconfigurable rotation unit (HERRU) and synthesized it into the Semiconductor Manufacturing International Corporation (SMIC)’s 65-nm process. The results show that the overall efficiency (relative area×relative latency) of our HERRU is higher by at least 23% than that of other designs with similar functions. When executing the bi-directional rotation operations alone, HERRU occupies a significantly smaller area with a lower latency than previously proposed designs.

Keywords： Rotation operations     Self-routing     Control-bit generation algorithm     Inverse butterfly network    

HTML PDF Collect

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Strategic Study of CAE 2001, Volume 3, Issue 12,   Pages 42-46

Abstract:

A fuzzy neural network based on rough sets is presented in this paper. First, a set of rough rules are found from the given training data by using rough sets theory, then the structure and model are designed according these rules, and then the model is trained by neural network technique. The experiments that simulate the control process of side-wind for chemical fiber are carried out. The results proved its efficiency and feasibility.

Keywords： rough sets     fuzzy logic     neural network     rules extracted    

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

Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear systems Article

Xiao-yu ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1331-1343 doi: 10.1631/FITEE.1500318

Abstract: Direct adaptive fuzzy sliding mode control design for discrete non-affine nonlinear systems is presented for trajectory tracking problems with disturbance. To obtain adaptiveness and eliminate chattering of sliding mode control, a dynamic fuzzy logical system is used to implement an equivalent control, in which the parameters are self-tuned online. Stability of the sliding mode control is validated using the Lyapunov analysis theory. The overall system is adaptive, asymptotically stable, and chattering-free. A numerical simulation and an application to a robotic arm with two degrees of freedom further verify the good performance of the control design.

Keywords： Nonlinear system     Discrete system     Dynamic fuzzy logical system     Direct adaptive     Sliding mode control    

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

Jointly optimized congestion control, forwarding strategy, and link scheduling in a named-data multihop wireless network

Cheng-cheng Li, Ren-chao Xie, Tao Huang, Yun-jie Liu,lengcangche@bupt.edu.cn,renchao_xie@bupt.edu.cn,htao@bupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1573-1590 doi: 10.1631/FITEE.1601585

Abstract: As a promising future network architecture, named data networking (NDN) has been widely considered as a very appropriate network protocol for the (MWN). In named-data MWNs, is a critical issue. Independent optimization for may cause severe performance degradation if it can not cooperate well with protocols in other layers. Cross-layer is a potential method to enhance performance. There have been many cross-layer mechanisms for MWN with Internet Protocol (IP). However, these cross-layer mechanisms for MWNs with IP are not applicable to named-data MWNs because the communication characteristics of NDN are different from those of IP. In this paper, we study the joint , forwarding strategy, and link scheduling problem for named-data MWNs. The problem is modeled as a network utility maximization (NUM) problem. Based on the approximate subgradient algorithm, we propose an algorithm called ‘jointly optimized , forwarding strategy, and link scheduling (JOCFS)’ to solve the NUM problem distributively and iteratively. To the best of our knowledge, our proposal is the first cross-layer mechanism for named-data MWNs. By comparison with the existing mechanism, JOCFS can achieve a better performance in terms of network throughput, fairness, and the pending interest table (PIT) size.

Keywords： Information-centric networking     Congestion control     Cross-layer design     Multihop wireless network    

HTML PDF Collect

A novel context-aware RPL algorithm based on a triangle module operator Research Article

Yanan Cao, Hao Yuan,caoyanan@tjnu.edu.cn,yuanhao19880520@163.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2000658

Abstract: For the use in low-power and lossy networks (LLNs) under complex and harsh communication conditions, the routing protocol for LLNs (RPL) standardized by the Internet Engineering Task Force is specially designed. To improve the performance of LLNs, we propose a novel RPL algorithm based on a (CAR-TMO). A novel composite routing metric (CA-RM) is designed, which synchronously evaluates the residual energy index, buffer occupancy ratio of a node, expected transmission count (ETX), delay, and hop count from a candidate parent to the root. CA-RM considers the residual energy index and buffer occupancy ratio of the candidate parent and its preferred parent in a recursive manner to reduce the effect of upstream parents, since farther paths are considered. CA-RM comprehensively uses the sum, mean, and standard deviation values of ETX and delay of links in a path to ensure a better performance. Moreover, in CAR-TMO, the of each routing metric is designed. Then, a comprehensive is constructed based on a , the of each routing metric, and a comprehensive objective function. A novel mechanism for calculating the node rank and the mechanisms for preferred parent selection are proposed. Finally, theoretical analysis and simulation results show that CAR-TMO outperforms several state-of-the-art RPL algorithms in terms of the packet delivery ratio and energy efficiency.

Keywords： 三角模算子；隶属度函数；情景感知；低功耗有损网络路由协议（RPL）；路由度量    

HTML PDF Collect

A dynamic signal coordination control method for urban arterial roads and its application Article

Guo-jiang SHEN,Yong-yao YANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 907-918 doi: 10.1631/FITEE.1500227

Abstract: We propose a novel dynamic traffic signal coordination method that takes account of the special traffic flow characteristics of urban arterial roads. The core of this method includes a control area division module and a signal coordination control module. Firstly, we analyze and model the influences of segment distance, traffic flow density, and signal cycle time on the correlation degree between two neighboring intersections. Then, we propose a fuzzy computing method to estimate the correlation degree based on a hierarchical structure and a method to divide the control area of urban arterial roads into subareas based on correlation degrees. Subarea coordination control arithmetic is used to calculate the public cycle time of the control subarea, up-run offset and down-run offset of the section, and the split of each intersection. An application of the method in Shaoxing City, Zhejiang Province, China shows that the method can reduce the average travel time and the average stop rate effectively.

Keywords： Urban arterial     Control subarea     Coordination control     Correlation degree     Fuzzy logic     Intelligent transportation    

HTML PDF Collect

Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Strategic Study of CAE 2006, Volume 8, Issue 9,   Pages 65-68

Abstract:

In HVAC systems, there exist severe nonlinearity, time-varying nature, disturbances and uncertainty. A novel predictive functional control strategy based on Takagi-Sugeno fuzzy model was developed in order to settie the difficulty to control HVAC systems. The T - S fuzzy model of controlled process was obtained using the least squares method, then basing on the fuzzy T - S global linear predictive model, the process was controlled by the predictive functional control strategy. Finally, the simulation results in HVAC systems control application showed that the proposed fuzzy model predictive functional control approach improves tracking effect and robustness. Compared with the conventional PID control approaches, this FPFC approach has better dynamical performance such as less overshoot and shorter regulation time, etc.

Keywords： T-S fuzzy model     predictive functional control     least squares method     HVAC systems    

HTML PDF Collect

Dynamical Fast IP-Routing Lookup Algorithm

Liu Yalin

Strategic Study of CAE 2002, Volume 4, Issue 7,   Pages 60-68

Abstract:

This paper proposes a dynamical fast IP-routing lookup algorithm (DFR). This algorithm uses special data structure to construct index table, and can support inserting, deleting and updating route dynamically. DFR algorithm accesses memory at most four times and at least two times for a route look up. DFR is suitable not only for hardware implementation but also for software implementation.

Keywords： prefix expansion     dynamical fast IP-routing lookup algorithm (DFR)     route     route lookup    

HTML PDF Collect

Adaptive network fuzzy inference system based navigation controller for mobile robot Research Article

Panati SUBBASH, Kil To CHONG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 141-151 doi: 10.1631/FITEE.1700206

Abstract:

Autonomous navigation of a mobile robot in an unknown environment with highly cluttered obstacles is a fundamental issue in mobile robotics research. We propose an adaptive network fuzzy inference system (ANFIS) based navigation controller for a differential drive mobile robot in an unknown environment with cluttered obstacles. Ultrasonic sensors are used to capture the environmental information around the mobile robot. A training data set required to train the ANFIS controller has been obtained by designing a fuzzy logic based navigation controller. Additive white Gaussian noise has been added to the sensor readings and fed to the trained ANFIS controller during mobile robot navigation, to account for the effect of environmental noise on sensor readings. The robustness of the proposed navigation controller has been evaluated by navigating the mobile robot in three different environments. The performance of the proposed controller has been verified by comparing the travelled path length/efficiency and bending energy obtained by the proposed method with reference mobile robot navigation controllers, such as neural network, fuzzy logic, and ANFIS. Simulation results presented in this paper show that the proposed controller has better performance compared with reference controllers and can successfully navigate in different environments without any collision with obstacles.

Keywords： Adaptive network fuzzy inference system     Additive white Gaussian noise     Autonomous navigation     Mobile robot    

HTML PDF Collect

Title Author Date Type Operation

A fuzzy integrated congestion-aware routing algorithm for network on chip

Shahrouz Yasrebi, Akram Reza, Mohammad Nikravan, Seena Vazifedan,a.reza@qodsiau.ac.ir,a.ak.reza@gmail.com

Journal Article

An approach to bandwidth management based on fuzzy logic

Li Zuxin,Wang Wanliang,Lei Bicheng,Chen Huiying

Journal Article

Pressure in Gas-assisted Injection Molding

Ou Changjin

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

A highly efficient reconfigurable rotation unit based on an inverse butterfly network

Chao MA, Zi-bin DAI, Wei LI, Hai-juan ZANG

Journal Article

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Journal Article

Output tracking of delayed logical control networks withmulti-constraint

Ya-ting ZHENG, Jun-e FENG

Journal Article

Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear systems

Xiao-yu ZHANG

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

Jointly optimized congestion control, forwarding strategy, and link scheduling in a named-data multihop wireless network

Cheng-cheng Li, Ren-chao Xie, Tao Huang, Yun-jie Liu,lengcangche@bupt.edu.cn,renchao_xie@bupt.edu.cn,htao@bupt.edu.cn

Journal Article

A novel context-aware RPL algorithm based on a triangle module operator

Yanan Cao, Hao Yuan,caoyanan@tjnu.edu.cn,yuanhao19880520@163.com

Journal Article

A dynamic signal coordination control method for urban arterial roads and its application

Guo-jiang SHEN,Yong-yao YANG

Journal Article

Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Journal Article

Dynamical Fast IP-Routing Lookup Algorithm

Liu Yalin

Journal Article

Adaptive network fuzzy inference system based navigation controller for mobile robot

Panati SUBBASH, Kil To CHONG

Journal Article