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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    

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    

Analysis of Control Performance of ECS in Fighter Plane

Yao Hongwei,Wang Jun

Strategic Study of CAE 2006, Volume 8, Issue 6,   Pages 44-47

Abstract:

Based on the characteristics of the ECS, pulse width-fuzzy control concept was put forward. Four models, pulse width regulating, PID control, fuzzy control and combined control, were established with Fuzzy and Simulink tool boxes in MATLAB. The difference between the temperatures of mixed flow and the objective and its change rate were the input in the fuzzy system, and the output, the control signal, was obtained by fuzzy reasoning. Rank skipping response characteristics of the four control methods were computed and analyzed with temperature rank skipping signal. A group of dynamic parameters were selected as the input data, by which dynamic response of the combined control model was simulated. The result showed that combined control system could solve the problem of temperature fluctuation in existing pulse width regulating system efficiently.

Keywords: airplane     environmental control     fuzzy control     simulation    

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    

Applications of advanced controlmethods in spacecrafts: progress, challenges, and future prospects Review

Yong-chun XIE,Huang HUANG,Yong HU,Guo-qi ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 841-861 doi: 10.1631/FITEE.1601063

Abstract: We aim at examining the current status of advanced control methods in spacecrafts from an engineer’s perspective. Instead of reviewing all the fancy theoretical results in advanced control for aerospace vehicles, the focus is on the advanced control methods that have been practically applied to spacecrafts during flight tests, or have been tested in real time on ground facilities and general testbeds/simulators built with actual flight data. The aim is to provide engineers with all the possible control laws that are readily available rather than those that are tested only in the laboratory at the moment. It turns out that despite the blooming developments of modern control theories, most of them have various limitations, which stop them from being practically applied to spacecrafts. There are a limited number of spacecrafts that are controlled by advanced control methods, among which H2/H∞ robust control is the most popular method to deal with flexible structures, adaptive control is commonly used to deal with model/parameter uncertainty, and the linear quadratic regulator (LQR) is the most frequently used method in case of optimal control. It is hoped that this review paper will enlighten aerospace engineers who hold an open mind about advanced control methods, as well as scholars who are enthusiastic about engineering-oriented problems.

Keywords: Spacecraft control     Robust control     Adaptive control     Optimal control    

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 78-81

Abstract:

According to the fuzzy theory and practical experience, the authors propose a rules autoconditioning fuzzy controller, whose dynamic performance and stability are all prior to the conventional PID controller and the basic fuzzy controller. It is also shown that the controller has good disturbance rejection properties and insensitivity to plant parameter variations. Both simulation and engineering prove that it is feasible actually and convenient to put into practical control project.

Keywords: fuzzy controller     rules auto-tuning     adaptive    

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    

Simulation Research of Temperature Control System in Air-Conditioned Coach

Yu Meichun,Zhang Dengchun

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 83-88

Abstract:

The issue studies, in virtue of simulation, temperature control system in air-conditioned coach by fuzzy and PID control methods. The simulation results show that PID control can eliminates steady-state error, but the overtune is big, transitional time is long. And PID control can only suit for air conditioning condition with small variation. For the condition with big variation and time delay, fuzzy control can track the load changes and obtain a better synthetic control quality than PID.

Keywords: air-conditioned coach     temperature control     fuzzy control     simulation    

Self-Powered Active Vibration Control: Concept, Modeling, and Testing Article

Jin-Yang Li, Songye Zhu

Engineering 2022, Volume 11, Issue 4,   Pages 126-137 doi: 10.1016/j.eng.2021.03.022

Abstract:

Despite their superior control performance, active vibration control techniques cannot be widely used in some engineering fields because of their substantial power demand in controlling large-scale structures. As an innovative solution to this problem, an unprecedented self-powered active vibration control system was established in this study. The topological design, working mechanism, and power flow of the proposed system are presented herein. The self-powering ability of the system was confirmed based on a detailed power flow analysis of vibration control processes. A self-powered actively controlled actuator was designed and applied to a scaled active vibration isolation table. The feasibility and effectiveness of the innovative system were successfully validated through a series of analytical, numerical, and experimental investigations. The setup and control strategy of the proposed system can be readily extended to diversified active vibration control applications in various engineering fields.

Keywords: Self-powered active vibration control     Energy harvesting     Skyhook control     Power equilibrium     Smart control    

Steering control for underwater gliders Article

You LIU, Qing SHEN, Dong-li MA, Xiang-jiang YUAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 898-914 doi: 10.1631/FITEE.1601735

Abstract: Steering control for an autonomous underwater glider (AUG) is very challenging due to its changing dynamic char-acteristics such as payload and shape. A good choice to solve this problem is online system identification via in-field trials to capture current dynamic characteristics for control law reconfiguration. Hence, an online polynomial estimator is designed to update the yaw dynamic model of the AUG, and an adaptive model predictive control (MPC) controller is used to calculate the optimal control command based on updated estimated parameters. The MPC controller uses a quadratic program (QP) to compute the optimal control command based on a user-defined cost function. The cost function has two terms, focusing on output reference tracking and move suppression of input, respectively. Move-suppression performance can, at some level, represent energy-saving performance of the MPC controller. Users can balance these two competitive control performances by tuning weights. We have compared the control performance using the second-order polynomial model to that using the fifth-order polynomial model, and found that the former cannot capture the main characteristics of yaw dynamics and may result in vibration during the flight. Both processor-in-loop (PIL) simulations and in-lake tests are presented to validate our steering control performance.

Keywords: Autonomous underwater glider (AUG)     Online system identification     Steering control     Adaptive control     Optimal control     Energy saving control     Processor-in-loop (PIL)    

A Fuzzy Controller With Self-Optimizing Parameters and Its Application in the Central Air-conditioning System

Wu Aiguo,Du Chunyan,Song Xiaoqiang

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 84-87

Abstract:

On the basis of analyzing characteristics of the central air-conditioning system, a fuzzy controller with self-optimizing parameters is proposed and applied into the temperature control of the system. To deal with the non-linearity, time delay and time variation of the controlled system, a method for optimizing the weighting factor a and the output scaling gain Ku is adopted in the applied rule-adjustable fuzzy controller. The experimental result indicates that the optimization method enhances the robustness of the fuzzy controller. As the temperature of the cooling water and the temperature of the circumstances change, the controller maintains satisfactory performance.

Keywords: central air-conditioning system     temperature control     fuzzy controller     parameter optimization    

Extension Controller Design via Sliding Mode Control

Chen Jenyang,Wong Chingchang

Strategic Study of CAE 2001, Volume 3, Issue 9,   Pages 48-51

Abstract:

In this paper, a novel extension controller based on the scheme of sliding mode control is investigated. The control strategy of the proposed controller is divided into two parts. One part is the equivalent control of sliding mode control. It can be directly obtained from the known nominal system. The other part is the well-known robust control. This control term is used to compensate the system uncertainty and external disturbance. By integrating the essential concept of extension set theory with the sliding mode control , the robust extension controller can be easily realized. In this study, a basic extension controller is organized first without any specific expert knowledge about the controlled system. The extension dependent functions are employed to provide system states´ information under control. A set of parameter is incorporated in the extension controller so that a robust control, also called as a hitting control, is established to guarantee the system robust stability. Actually, the proposed extension controller is stable in the sense of the Lyapunov. Finally, the proposed extension controller is applied to controlling a nonlinear system to verify its effectiveness and ability.

Keywords: extension set     extension control     sliding mode control     system stability    

Fault-Tolerant Control of a CPG-Governed Robotic Fish Article

Yueqi Yang, Jian Wang, Zhengxing Wu, Junzhi Yu

Engineering 2018, Volume 4, Issue 6,   Pages 861-868 doi: 10.1016/j.eng.2018.09.011

Abstract:

Fault tolerance is essential for the maneuverability of self-propelled biomimetic robotic fish in real-world aquatic applications. This paper explores the fault-tolerance control problem of a free-swimming robotic fish with multiple moving joints and a stuck tail joint. The created control system is composed of two main components: a feedback controller and a feedforward compensator. Specifically, the bio-inspired central pattern generator-based feedback controller is designed to make the robotic fish robust to external disturbances, while the feedforward compensator speeds up the convergence of the overall control system. Simulations are performed for control system analysis and performance validation of the faulty robotic fish. The experimental results demonstrate that the proposed fault-tolerant control method is able to effectively regulate the faulty robotic fish, allowing it to complete the desired motion in the presence of damage and thereby improving both the stability and the lifetime of the real robotic system.

Keywords: Fault-tolerant control     Robotic fish     Motion control     Feedback controller     Feedforward compensator    

Qian Xuesen and Engineering Cybernetics

Zheng Yingping

Strategic Study of CAE 2001, Volume 3, Issue 10,   Pages 7-12

Abstract:

After a brief introduction to the contents, method and meanings of cybernetics and control engineering with a brief historical remark, Professor Qian Xuesen's《Engineering Cybernetics》is introduced with special emphasis on its contents, paradigms, and the important role it plays in the development of control theory from the “Classical” to the “Modern”. In the preface he stated , “Engineering cybernetics is an engineering science, which aims to organize the design principles used in engineering practice into a discipline and thus to exhibit the similarities between different areas of engineering practice and to emphasize the power of fundamental concepts”. With his modern work on systems engineering, large-scale systems, complex systems and complex giant systems, a new frontier of control science will be formed to meet the challenges of complexities in modern society and technologies

Keywords: cybernetics     engineering cybernetics     engineering science     complex system control     complex giant system meta-synthesis methodology    

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

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

Analysis of Control Performance of ECS in Fighter Plane

Yao Hongwei,Wang Jun

Journal Article

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

Li Yunhua,Yang Guilin

Journal Article

Applications of advanced controlmethods in spacecrafts: progress, challenges, and future prospects

Yong-chun XIE,Huang HUANG,Yong HU,Guo-qi ZHANG

Journal Article

Intellectual control—A goal exceeding the century - speech on the Fourteenth Conference IFAC

Song Jian

Journal Article

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Journal Article

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

Zheng Hua, Cong Shuang

Journal Article

Simulation Research of Temperature Control System in Air-Conditioned Coach

Yu Meichun,Zhang Dengchun

Journal Article

Self-Powered Active Vibration Control: Concept, Modeling, and Testing

Jin-Yang Li, Songye Zhu

Journal Article

Steering control for underwater gliders

You LIU, Qing SHEN, Dong-li MA, Xiang-jiang YUAN

Journal Article

A Fuzzy Controller With Self-Optimizing Parameters and Its Application in the Central Air-conditioning System

Wu Aiguo,Du Chunyan,Song Xiaoqiang

Journal Article

Extension Controller Design via Sliding Mode Control

Chen Jenyang,Wong Chingchang

Journal Article

Fault-Tolerant Control of a CPG-Governed Robotic Fish

Yueqi Yang, Jian Wang, Zhengxing Wu, Junzhi Yu

Journal Article

Qian Xuesen and Engineering Cybernetics

Zheng Yingping

Journal Article