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【当期目录】IEEE/CAAJAS第7卷第4期

(2020-07-13 09:11:51)
标签:

智能控制

图像处理

机器学习

IEEE/CAA JAS第7卷第4期发表了关于智能控制、稳定性分析、机器人、图像处理、智能车辆、机器学习、多智能体系统等方向论文。欢迎阅览。

 



01

Qinglai Wei, Hongyang Li and Fei-Yue Wang, "Parallel Control for Continuous-Time Linear Systems: A Case Study," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 919-928, July 2020.


Highlights:


A new parallel control structure for continuous-time linear systems is proposed.

The parallel controller is proposed based on parallel control theory.

The parallel controller considers both system state and control as input.

The parallel controller can avoid the disadvantages of state feedback control.



02

Pierluigi Di Franco, Giordano Scarciotti and Alessandro Astolfi, "Stability of Nonlinear Differential-Algebraic Systems Via Additive Identity,IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 929-941, July 2020. 


Highlights:


 Representation of DAE systems as feedback interconnection.

 Stability analysis forDAE systems via Lyapunov Method and Small Gain-like arguments.

 Stability analysis for nonlinear mechanical systems with holonomic constraints.

 Stability analysis of Lipschitz DAE systems.



03

Jacob H. White and Randal W. Beard, "An Iterative Pose Estimation Algorithm Based on Epipolar Geometry With Application to Multi-Target Tracking," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 942-953, July 2020. 


Highlights:


This paper introduces a new algorithm for estimating the relative pose of a moving camera.

A novel optimization algorithm solves for the relative pose using the epipolar constraint.

Applications include multi-target tracking, visual odometry, and 3D scene reconstruction.

If IMU information is available, it is used to seed the pose estimation algorithm.

Real-time execution of the algorithm is demonstrated on an embedded flight platform.



04

Haowei Lin, Bo Zhao, Derong Liu and Cesare Alippi, "Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 954-964, July 2020. 


Highlights:


A data-based fault tolerant control scheme is investigated.

The unknown system dynamics is approximated by PSO-NN identifier.

The HJB equation is solved with a high successful rate by the PSOCNN.

The online fault tolerant control is shown to be optimal.



05

Xiaodong Zhao, Yaran Chen, Jin Guo and Dongbin Zhao, "A Spatial-Temporal Attention Model forHuman Trajectory Prediction," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 965-974, July 2020. 


Highlights:


 Study the trajectory prediction jointly with temporal and spatial affinities.

 A LSTM model that uses attention mechanism to improve the accuracy of trajectory prediction .

 An experimental error analysis using data based on both world plane and image plane.



06

Ali Forootani, Raffaele Iervolino, Massimo Tipaldi and Joshua Neilson, "Approximate Dynamic Programming for Stochastic Resource Allocation Problems," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 975-990, July 2020.  


Highlights:


 MDP based resource allocation problem is proposed.

MPC is considered in the framework of the MDP.

Algorithms suitable for computer implementation are proposed.

Compressive sampling is considered for ADP.

Linear architecture is considered for ADP.



07

Liang Yang, Bing Li, Wei Li, Howard Brand, Biao Jiang and Jizhong Xiao, "Concrete Defects Inspection and 3D Mapping Using CityFlyer Quadrotor Robot," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 991-1002, July 2020.


Highlights:


 A high-quality labeled dataset for crack and spalling detection, which is the first publicly available dataset for visual inspection of concrete structures.

A robotic inspection system with visual-inertial fusion to obtain pose estimation using an RGB-D camera and an IMU.

A depth in-painting model that allows depth hole in-painting in an end-to-end approach with real-time performance.

A multi-resolution model that adapts to image resolution changes and allows accurate defect detection in the field.



08

Giancarlo Fortino, Antonio Liotta, Fabrizio Messina, Domenico Rosaci and Giuseppe M. L. Sarnè, "Evaluating Group Formation in Virtual Communities," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1003-1015, July 2020.


Highlights:


 The problem of forming effective groups in virtual communities is addressed.

 The proposed solution exploits trust information without significant overhead by adopting local reputation instead of global reputation.

 An index to measure the effectiveness of group formation is introduced, as well as an algorithm to drive group formation as proof of concept.

 Experimental trials performed on two data sets extracted from social networks have shown that the adoption of the proposed solution offer significant advantages.



09

Chinthaka Premachandra, Dang Ngoc Hoang Thanh, Tomotaka Kimura and Hiroharu Kawanaka, "A Study on Hovering Control of Small Aerial Robot by Sensing Existing Floor Features," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1016-1025, July 2020.


Highlights:


 Hovering control of small aerial robot.

 Image processing using small-type and low-weight microcontrollers.

 Specific image feature point detection by weak directional pattern analysis.

 On-board camera image processing based autonomous flight control of UAV.

 Simple and low-cost image noise removal process.



10

Mohammadhossein Ghahramani, Yan Qiao, MengChu Zhou, Adrian O’Hagan and James Sweeney, "AI-Based Modeling and Data-Driven Evaluation for Smart Manufacturing Processes," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1026-1037, July 2020.


Highlights:


 To address this concern, a dynamic feature selection model based on an integrated algorithm including a meta-heuristic method (GA) and an artificial neural network is proposed.

 The implemented algorithm considers two major conflicting objectives: minimizing the number of features and maximizing the classification performance. 

 The proposed AI-based multi-objective feature selection method together with an efficient classification algorithm can enables decision makers to scrutinize manufacturing processes.



11

Yaojie Zhang, Bing Xu and Tiejun Zhao, "Convolutional Multi-Head Self-Attention on Memory for Aspect Sentiment Classification," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1038-1044, July 2020.


Highlights:


 Using convolution and self-attention to capture semantic information of n-gram and sequence itself.

 The aspect-sequence modeling ability and network parallelism of memory network are preserved.

 Can complete ACSA and ATSA tasks and win in baseline.



12

Chaoyue Zu, Chao Yang, Jian Wang, Wenbin Gao, Dongpu Cao and Fei-Yue Wang, "Simulation and Field Testing of Multiple Vehicles Collision Avoidance Algorithms," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1045-1063, July 2020.  


Highlights:


 A distributed real-time MVCA algorithm is proposed by extending the reciprocal n-body collision avoidance method and enables the intelligent vehicles to choose their destinations and control inputs independently.

 The effects of latency and packet loss on MVCA are also statistically investigated through theoretically formulating broadcasting process based on one-dimensional Markov chain and the results uncover that the tolerant delay should not exceed the half of deciding cycle of trajectory planning, and shortening the sending interval could alleviate the negative effects caused by the packet loss to an extent.

 The MVCA was tested by a real intelligent vehicle, the information on obstacles and the latitude and longitude of the vehicle were input into the algorithm,



13

Kritika Bansal and Pankaj Mukhija, "Aperiodic Sampled-Data Control of Distributed Networked Control Systems Under Stochastic Cyber-Attacks," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1064-1073, July 2020.


Highlights:


 A hybrid aperiodic sampled-data mechanism for distributed networked control systems under stochastic deception attacks is introduced to alleviate the problem of computational load, energy consumption and communication load.

 A more general attack scenario on distributed networked control systems is considered whereby stochastic deception attacks of different intensity on different subsystems may occur.

 The implementation of self-triggering strategy alone for distributed networked control systems under attack is also presented.

 The analysis of the proposed strategy for an isolated system is presented as a special case. Also, minimum inter-event time is obtained for an isolated system under deception attack.



14

Chao Han and Yuzhen Shen, "Three-Dimensional Scene Encryption Algorithm Based on Phase Iteration Algorithm of the Angular-Spectral Domain," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1074-1080, July 2020.


Highlights:


 An accurate angular spectrum diffraction is used to reduce the loss of information transmission.

 The combination of the angular spectrum diffraction and the three - phase iterative algorithm improves the security of the encrypted information.

 The algorithm proposed can achieve the encryption and decryption of 3D scenes and increase the capacity of the encrypted information.



15

Xiaoyuan Wang, Chenxi Jin, Xiaotao Min, Dongsheng Yu and Herbert Ho Ching Iu, "An Exponential Chaotic Oscillator Design and Its Dynamic Analysis," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1081-1086, July 2020. 


Highlights:


 Exponential nonlinear term

This exponentially nonlinear term may make the new chaotic system have better performance. And the effectiveness of this exponential chaotic system has been proved by various theoretical analyses.

 NIST test
The exponential chaotic system passed all fifteen tests, but the Lü system passed only fourteen of them. Also the exponential chaotic system has 9 tests with P-values greater than the Lü system in all 15 tests.

 Circuit
This paper has designed a circuit corresponding to the exponential chaotic system. And the simulation results of Multisim are consistent with the theoretical analysis.



16

Mohammad Javad Morshed, "A Nonlinear Coordinated Approach to Enhance the Transient Stability of Wind Energy-Based Power Systems," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1087-1097, July 2020.


Highlights:


 Introduce a new nonlinear coordination method based on MIMO zero dynamics approach.

 Coordinate controllers of DFIG and synchronous generators (SGs) in multi-machine power systems.

 Propose a coordinated framework for large scale power systems with n-DFIG and m-SG.

 Enhance transient and voltage stability of inter-connected power systems.

 The proposed approach is implemented to the IEEE 39-bus power systems.



17

Chao Deng, Weinan Gao and Weiwei Che, "Distributed Adaptive Fault-Tolerant Output Regulation of Heterogeneous Multi-Agent Systems With Coupling Uncertainties and Actuator Faults," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1098-1106, July 2020. 


Highlights:


 A novel distributed adaptive fault-tolerant control method is proposed to solve the fault-tolerant output regulation problem for heterogeneous MASs with matched system uncertainties and mismatched coupling uncertainties among subsystems.

 Different from the existing distributed fault-tolerant control result, a more general directed network topology is considered in this paper.

A novel sufficient condition with cyclic-small-gain condition is proposed by using the linear matrix inequality technique.



18

Jing Huang, Yimin Chen, Xiaoyan Peng, Lin Hu and Dongpu Cao, "Study on the Driving Style Adaptive Vehicle Longitudinal Control Strategy," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1107-1115, July 2020.


Highlights:


 A driver-adaptive fusion control strategy of Adaptive Cruise Control and Collision Avoidance was proposed.

 Different styles of divers’ driving behavioural data were collected via driving simulator experiments, corresponding driving behaviour characteristics were extracted and used in the driver-adaptive control.

 Real-time recognition of driving style was achieved based on fuzzy reasoning rule.

 The effect of the fusion control strategy was validated by virtual experiments.



19

Qi Wu, Li Yu, Yao-Wei Wang and Wen-An Zhang, "LESO-based Position Synchronization Control for Networked Multi-Axis Servo Systems With Time-Varying Delay," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1116-1123, July 2020. 


Highlights:


 It is demonstrated that the proposed approach can deal with the effects of system uncertainty, external disturbance, and short time-varying for the NMASS.

 It is rigorously proved that the closed-loop control system under the proposed controller is bounded-input-bounded-output (BIBO) stable.

 It is verified that the proposed method has better tracking and synchronization performance than the improve PID-based method by testing on a four-axis NMASS experimental platform.

 The bandwidth-parameterization tuning method is applied in both controller design and observer design, so that the number of parameters that need to be adjusted is greatly reduced.



20

Longwei Fang, Zuowei Wang, Zhiqiang Chen, Fengzeng Jian, Shuo Li and Huiguang He, "3D Shape Reconstruction of Lumbar Vertebra From Two X-ray Images and a CT Model," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1124-1133, July 2020.


Highlights:


 This paper introduces a novel method that use prior model and two x-ray images to reconstruct 3D vertebra.

 We use the CT data of a vertebra specimen to provide both the shape mesh and the intensity model, and only one prior model used in our method.

 We combine the elastic-mesh-based and statistical-intensity-model-based methods, which can provide efficient and robust 3D vertebra reconstruction.



21

Jiahai Wang, Yuyan Sun, Zizhen Zhang and Shangce Gao, "Solving Multitrip Pickup and Delivery Problem With Time Windows and Manpower Planning Using Multiobjective Algorithms," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1134-1153, July 2020. 


Highlights:


 A multiobjective pickup and delivery problem with time windows and manpower planning is introduced.

 A multiobjective iterated local search algorithm with adaptive neighborhood is proposed.

 The nature of objective functions and the properties of the problem are analyzed.

 The benefits of multiobjective optimization are discussed.



22

Jin Xu, Wei Wu, Keyou Wang and Guojie Li, "C-Vine Pair Copula Based Wind Power Correlation Modelling in Probabilistic Small Signal Stability Analysis," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1154-1160, July 2020. 


Highlights:


 In this paper, the C-vine pair copula theory is introduced to describe the complicated dependence of multidimensional wind power injection, and samples obeying this dependence structure are generated.

 The probabilistic stability of power system integrated with six wind farms is investigated by performing the Monte Carlo simulations under different correlation models and different operating conditions scenarios.

 In the case study of a modified New England test system, the simplified pair copula construction (sPCC) with C-vine structure proves to have a better reflection of the actual dependence than the linear correlation coefficient (LCC) model and multivariate normal copula model.



23

Shengwen Xiang, Hongqi Fan and Qiang Fu, "Distribution of Miss Distance for Pursuit-Evasion Problem," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1161-1168, July 2020. 


Highlights:


 An analytic method for solving the distribution of miss distance is proposed by integrating the error model of zero-effort miss distance.

 Four different types of Bang-Bang disturbances are considered specifically.

 Results provide a powerful tool for the design, analysis and performance evaluation of pursuit-evasion problems.



24

Teng Liu, Hong Wang, Bin Tian, Yunfeng Ai and Long Chen, "Parallel Distance: A New Paradigm of Measurement for Parallel Driving," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1169-1178, July 2020. 


Highlights:


 Parallel driving 3.0 system as potential autonomous driving system is essentially discussed.

 Parallel distance framework is presented to measure real and artificial world.

 Techniques related to multiple distance calculation are quantified and compared.

 Practical applications of parallel distance framework is introduced and outlined.



25

Lan Jiang, Hongyun Huang and Zuohua Ding, "Path Planning for Intelligent Robots Based on Deep Q-learning With Experience Replay and Heuristic Knowledge," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1179-1189, July 2020.


Highlights:


 Fast convergence and Better strategy

 Deep Q-learning

 Experience replay 

 Heuristic knowledge



26

Luping Wang and Hui Wei, "Avoiding Non-Manhattan Obstacles Based on Projection of Spatial Corners in Indoor Environment," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1190-1200, July 2020. 


Highlights:


 A method is presented to avoid non-Manhattan obstacles in an indoor environment from a monocular camera.

 The method can cope with the non-Manhattan obstacle without prior training, making it practical and efficient for a navigating robot.

 The approach is robust against changes in illumination and color in 3D scenes, without the knowledge of camera’s intrinsic parameters, nor of the relation between the camera and world.




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