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Vol. 7,  No. 3, 2020

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REVIEW
Urban Sensing Based on Mobile Phone Data: Approaches, Applications, and Challenges
Mohammadhossein Ghahramani, MengChu Zhou, Gang Wang
2020, 7(3): 627-637. doi: 10.1109/JAS.2020.1003120
Abstract(2015) HTML (614) PDF(201)
Abstract:
Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications. The ability to accurately and extensively monitor and analyze these data is necessary. Much concern in cellular data analysis is related to human beings and their behaviours. Due to the p...
PAPERS
Scalable Distributed Sensor Fault Diagnosis for Smart Buildings
Panayiotis M. Papadopoulos, Vasso Reppa, Marios M. Polycarpou, Christos G. Panayiotou
2020, 7(3): 638-655. doi: 10.1109/JAS.2020.1003123
Abstract(2949) HTML (1185) PDF(240)
Abstract:
The enormous energy use of the building sector and the requirements for indoor living quality that aim to improve occupants’ productivity and health, prioritize Smart Buildings as an emerging technology. The Heating, Ventilation and Air-Conditioning (HVAC) system is considered one of the most critic...
Recursive Approximation of Complex Behaviours With IoT-Data Imperfections
Korkut Bekiroglu, Seshadhri Srinivasan, Ethan Png, Rong Su, Constantino Lagoa
2020, 7(3): 656-667. doi: 10.1109/JAS.2020.1003126
Abstract(1542) HTML (601) PDF(88)
Abstract:
This paper presents an approach to recursively estimate the simplest linear model that approximates the time-varying local behaviors from imperfect (noisy and incomplete) measurements in the internet of things (IoT) based distributed decision-making problems. We first show that the problem of findin...
Convergence Rate Analysis of Gaussian Belief Propagation for Markov Networks
Zhaorong Zhang, Minyue Fu
2020, 7(3): 668-673. doi: 10.1109/JAS.2020.1003105
Abstract(1305) HTML (577) PDF(75)
Abstract:
Gaussian belief propagation algorithm (GaBP) is one of the most important distributed algorithms in signal processing and statistical learning involving Markov networks. It is well known that the algorithm correctly computes marginal density functions from a high dimensional joint density function o...
Classifying Environmental Features From Local Observations of Emergent Swarm Behavior
Megan Emmons, Anthony A. Maciejewski, Charles Anderson, Edwin K. P. Chong
2020, 7(3): 674-682. doi: 10.1109/JAS.2020.1003129
Abstract(2148) HTML (584) PDF(74)
Abstract:
Robots in a swarm are programmed with individual behaviors but then interactions with the environment and other robots produce more complex, emergent swarm behaviors. One discriminating feature of the emergent behavior is the local distribution of robots in any given region. In this work, we show ho...
Deep Learning and Time Series-to-Image Encoding for Financial Forecasting
Silvio Barra, Salvatore Mario Carta, Andrea Corriga, Alessandro Sebastian Podda, Diego Reforgiato Recupero
2020, 7(3): 683-693. doi: 10.1109/JAS.2020.1003132
Abstract(7677) HTML (1013) PDF(761)
Abstract:
In the last decade, market financial forecasting has attracted high interests amongst the researchers in pattern recognition. Usually, the data used for analysing the market, and then gamble on its future trend, are provided as time series; this aspect, along with the high fluctuation of this kind o...
A Variable-Parameter-Model-Based Feedforward Compensation Method for Tracking Control
Dailin Zhang, Zining Wang, Masayoshi Tomizuka
2020, 7(3): 693-701. doi: 10.1109/JAS.2020.1003135
Abstract(2066) HTML (1224) PDF(151)
Abstract:
Base on the accurate inverse of a system, the feedforward compensation method can compensate the tracking error of a linear system dramatically. However, many control systems have complex dynamics and their accurate inverses are difficult to obtain. In the paper, a variable parameter model is propos...
H∞-Based Selective Inversion of Nonminimum-phase Systems for Feedback Controls
Dan Wang, Xu Chen
2020, 7(3): 702-710. doi: 10.1109/JAS.2020.1003138
Abstract(1211) HTML (521) PDF(70)
Abstract:
Stably inverting a dynamic system model is fundamental to subsequent servo designs. Current inversion techniques have provided effective model matching for feedforward controls. However, when the inverse models are to be implemented in feedback systems, additional considerations are demanded for ass...
Learning-Based Switched Reliable Control of Cyber-Physical Systems With Intermittent Communication Faults
Xin Huang, Jiuxiang Dong
2020, 7(3): 711-724. doi: 10.1109/JAS.2020.1003141
Abstract(1538) HTML (508) PDF(108)
Abstract:
This study deals with reliable control problems in data-driven cyber-physical systems (CPSs) with intermittent communication faults, where the faults may be caused by bad or broken communication devices and/or cyber attackers. To solve them, a watermark-based anomaly detector is proposed, where the ...
Reduced-Order GPIO Based Dynamic Event-Triggered Tracking Control of a Networked One-DOF Link Manipulator Without Velocity Measurement
Jiankun Sun, Jun Yang, Shihua Li
2020, 7(3): 725-734. doi: 10.1109/JAS.2019.1911738
Abstract(1968) HTML (853) PDF(115)
Abstract:
In networked robot manipulators that deeply integrate control, communication and computation, the controller design needs to take into consideration the limited or costly system resources and the presence of disturbances/uncertainties. To cope with these requirements, this paper proposes a novel dyn...
Road Safety Performance Function Analysis With Visual Feature Importance of Deep Neural Nets
Guangyuan Pan, Liping Fu, Qili Chen, Ming Yu, Matthew Muresan
2020, 7(3): 735-744. doi: 10.1109/JAS.2020.1003108
Abstract(1374) HTML (485) PDF(71)
Abstract:
Road safety performance function (SPF) analysis using data-driven and nonparametric methods, especially recent developed deep learning approaches, has gained increasing achievements. However, due to the learning mechanisms are hidden in a “black box” in deep learning, traffic features extraction and...
Environmental Adaptive Control of a Snake-like Robot With Variable Stiffness Actuators
Dong Zhang, Hao Yuan, Zhengcai Cao
2020, 7(3): 745-751. doi: 10.1109/JAS.2020.1003144
Abstract(1897) HTML (488) PDF(104)
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This work investigates adaptive stiffness control and motion optimization of a snake-like robot with variable stiffness actuators. The robot can vary its stiffness by controlling magneto-rheological fluid (MRF) around actuators. In order to improve the robot’s physical stability in complex environme...
Non-Monotonic Lyapunov-Krasovskii Functional Approach to Stability Analysis and Stabilization of Discrete Time-Delay Systems
Younes Solgi, Alireza Fatehi, Ala Shariati
2020, 7(3): 752-763. doi: 10.1109/JAS.2020.1003102
Abstract(1523) HTML (484) PDF(76)
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In this paper, a novel non-monotonic Lyapunov-Krasovskii functional approach is proposed to deal with the stability analysis and stabilization problem of linear discrete time-delay systems. This technique is utilized to relax the monotonic requirement of the Lyapunov-Krasovskii theorem. In this rega...
Locally Linear Back-propagation Based Contribution for Nonlinear Process Fault Diagnosis
Jinchuan Qian, Li Jiang, Zhihuan Song
2020, 7(3): 764-775. doi: 10.1109/JAS.2020.1003147
Abstract(1389) HTML (408) PDF(91)
Abstract:
This paper proposes a novel locally linear back-propagation based contribution (LLBBC) for nonlinear process fault diagnosis. As a method based on the deep learning model of auto-encoder (AE), LLBBC can deal with the fault diagnosis problem through extracting nonlinear features. When the on-line fau...
Scheduling Dual-Arm Cluster Tools With Multiple Wafer Types and Residency Time Constraints
Jipeng Wang, Hesuan Hu, Chunrong Pan, Yuan Zhou, Liang Li
2020, 7(3): 776-789. doi: 10.1109/JAS.2020.1003150
Abstract(1456) HTML (543) PDF(148)
Abstract:
Accompanying the unceasing progress of integrated circuit manufacturing technology, the mainstream production mode of current semiconductor wafer fabrication is featured with multi-variety, small batch, and individual customization, which poses a huge challenge to the scheduling of cluster tools wit...
A Real-Time and Ubiquitous Network Attack Detection Based on Deep Belief Network and Support Vector Machine
Hao Zhang, Yongdan Li, Zhihan Lv, Arun Kumar Sangaiah, Tao Huang
2020, 7(3): 790-799. doi: 10.1109/JAS.2020.1003099
Abstract(1358) HTML (511) PDF(90)
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In recent years, network traffic data have become larger and more complex, leading to higher possibilities of network intrusion. Traditional intrusion detection methods face difficulty in processing high-speed network data and cannot detect currently unknown attacks. Therefore, this paper proposes a...
Latent Variable Regression for Supervised Modeling and Monitoring
Qinqin Zhu
2020, 7(3): 800-811. doi: 10.1109/JAS.2020.1003153
Abstract(1290) HTML (450) PDF(63)
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A latent variable regression algorithm with a regularization term (rLVR) is proposed in this paper to extract latent relations between process data X and quality data Y . In rLVR, the prediction error between X and Y is minimized, which is proved to be equivalent to maximizing the projection of qual...
Robust Deadlock Avoidance Policy for Automated Manufacturing System With Multiple Unreliable Resources
Jianchao Luo, Zhiqiang Liu, Shuogang Wang, Keyi Xing
2020, 7(3): 812-821. doi: 10.1109/JAS.2020.1003096
Abstract(1407) HTML (485) PDF(59)
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This work studies the robust deadlock control of automated manufacturing systems with multiple unreliable resources. Our goal is to ensure the continuous production of the jobs that only require reliable resources. To reach this goal, we propose a new modified Banker’s algorithm (MBA) to ensure that...
Optimal PID Control of Spatial Inverted Pendulum With Big Bang – Big Crunch Optimization
Jia-Jun Wang, Tufan Kumbasar
2020, 7(3): 822-832. doi: 10.1109/JAS.2018.7511267
Abstract(1392) HTML (394) PDF(76)
Abstract:
As the extension of the linear inverted pendulum (LIP) and planar inverted pendulum (PIP), this paper proposes a novel spatial inverted pendulum (SIP). The SIP is the most general inverted pendulum (IP) than any existing IP. The model of the SIP is presented for the first time. The SIP inherits all ...
Adaptive Linear Quadratic Regulator for Continuous-Time Systems With Uncertain Dynamics
Sumit Kumar Jha, Shubhendu Bhasin
2020, 7(3): 833-841. doi: 10.1109/JAS.2019.1911438
Abstract(1533) HTML (423) PDF(113)
Abstract:
In this paper, adaptive linear quadratic regulator (LQR) is proposed for continuous-time systems with uncertain dynamics. The dynamic state-feedback controller uses input-output data along the system trajectory to continuously adapt and converge to the optimal controller. The result differs from pre...
ADMM-based Distributed Algorithm for Economic Dispatch in Power Systems With Both Packet Drops and Communication Delays
Qing Yang, Gang Chen, Ting Wang
2020, 7(3): 842-852. doi: 10.1109/JAS.2020.1003156
Abstract(1414) HTML (518) PDF(68)
Abstract:
By virtue of alternating direction method of multipliers (ADMM), Newton-Raphson method, ratio consensus approach and running sum method, two distributed iterative strategies are presented in this paper to address the economic dispatch problem (EDP) in power systems. Different from most of the existi...
Robust D-Stability Test of LTI General Fractional Order Control Systems
Reza Mohsenipour, Xinzhi Liu
2020, 7(3): 853-864. doi: 10.1109/JAS.2020.1003159
Abstract(1161) HTML (485) PDF(46)
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This work deals with the robust D-stability test of linear time-invariant (LTI) general fractional order control systems in a closed loop where the system and/or the controller may be of fractional order. The concept of general implies that the characteristic equation of the LTI closed loop control ...
Iterative Learning Control for Distributed Parameter Systems Based on Non-Collocated Sensors and Actuators
Jianxiang Zhang, Baotong Cui, Xisheng Dai, Zhengxian Jiang
2020, 7(3): 865-871. doi: 10.1109/JAS.2019.1911663
Abstract(1597) HTML (869) PDF(89)
Abstract:
In this paper, an open-loop PD-type iterative learning control (ILC) scheme is first proposed for two kinds of distributed parameter systems (DPSs) which are described by parabolic partial differential equations using non-collocated sensors and actuators. Then, a closed-loop PD-type ILC algorithm is...
Stability of Delayed Switched Systems With State-Dependent Switching
Chao Liu, Zheng Yang, Xiaoyang Liu, Xianying Huang
2020, 7(3): 872-881. doi: 10.1109/JAS.2019.1911624
Abstract(1647) HTML (804) PDF(97)
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This paper investigates the stability of switched systems with time-varying delay and all unstable subsystems. According to the stable convex combination, we design a state-dependent switching rule. By employing Wirtinger integral inequality and Leibniz-Newton formula, the stability results of nonli...
Identification Scheme for Fractional Hammerstein Models With the Delayed Haar Wavelet
Kajal Kothari, Utkal Mehta, Vineet Prasad, Jito Vanualailai
2020, 7(3): 882-891. doi: 10.1109/JAS.2020.1003093
Abstract(1145) HTML (446) PDF(58)
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The parameter identification of a nonlinear Hammerstein-type process is likely to be complex and challenging due to the existence of significant nonlinearity at the input side. In this paper, a new parameter identification strategy for a block-oriented Hammerstein process is proposed using the Haar ...
Swing Suppression and Accurate Positioning Control for Underactuated Offshore Crane Systems Suffering From Disturbances
Tong Yang, Ning Sun, He Chen, Yongchun Fang
2020, 7(3): 892-900. doi: 10.1109/JAS.2020.1003162
Abstract(1104) HTML (509) PDF(46)
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Offshore cranes are widely applied to transfer large-scale cargoes and it is challenging to develop effective control for them with sea wave disturbances. However, most existing controllers can only yield ultimate uniform boundedness or asymptotical stability results for the system’s equilibrium poi...
Two-Order Approximate and Large Stepsize Numerical Direction Based on the Quadratic Hypothesis and Fitting Method
Xiaoli Yin, Chunming Li, Yuan Zhang
2020, 7(3): 901-909. doi: 10.1109/JAS.2019.1911735
Abstract(1189) HTML (488) PDF(40)
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Many effective optimization algorithms require partial derivatives of objective functions, while some optimization problems’ objective functions have no derivatives. According to former research studies, some search directions are obtained using the quadratic hypothesis of objective functions. Based...
Adaptive Fault-Delay Accommodation for a Class of State-Delay Systems With Actuator Faults
Shengjuan Huang, Chunrong Li
2020, 7(3): 910-918. doi: 10.1109/JAS.2020.1003015
Abstract(1204) HTML (489) PDF(73)
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Fault and delay accommodating simultaneously for a class of linear systems subject to state delays, actuator faults and disturbances is investigated in this work. A matrix norm minimization technique is applied to minimize the norms of coefficient matrix on time delay terms of the system in consider...