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A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation

Vol. 7,  No. 1, 2020

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REVIEWS
Networked Control Systems: A Survey of Trends and Techniques
Xian-Ming Zhang, Qing-Long Han, Xiaohua Ge, Derui Ding, Lei Ding, Dong Yue, Chen Peng
2020, 7(1): 1-17. doi: 10.1109/JAS.2019.1911651
Abstract(11380) HTML (4701) PDF(1426)
Abstract:
Networked control systems are spatially distributed systems in which the communication between sensors, actuators, and controllers occurs through a shared band-limited digital communication network. Several advantages of the network architectures include reduced system wiring, plug and play devices,...
Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations
Hira Zahid, Tariq Mahmood, Ahsan Morshed, Timos Sellis
2020, 7(1): 18-38. doi: 10.1109/JAS.2019.1911795
Abstract(7706) HTML (1969) PDF(499)
Abstract:
This paper focuses on facilitating state-of-the-art applications of big data analytics (BDA) architectures and infrastructures to telecommunications (telecom) industrial sector. Telecom companies are dealing with terabytes to petabytes of data on a daily basis. IoT applications in telecom are furthe...
PAPERS
A Stable Analytical Solution Method for Car-Like Robot Trajectory Tracking and Optimization
Keyvan Majd, Mohammad Razeghi-Jahromi, Abdollah Homaifar
2020, 7(1): 39-47. doi: 10.1109/JAS.2019.1911816
Abstract(9531) HTML (3494) PDF(290)
Abstract:
In this paper, the car-like robot kinematic model trajectory tracking and control problem is revisited by exploring an optimal analytical solution which guarantees the global exponential stability of the tracking error. The problem is formulated in the form of tracking error optimization in which th...
A New Robust Adaptive Neural Network Backstepping Control for Single Machine Infinite Power System With TCSC
Yanhong Luo, Shengnan Zhao, Dongsheng Yang, Huaguang Zhang
2020, 7(1): 48-56. doi: 10.1109/JAS.2019.1911798
Abstract(2281) HTML (626) PDF(145)
Abstract:
For a single machine infinite power system with thyristor controlled series compensation (TCSC) device, which is affected by system model uncertainties, nonlinear time-delays and external unknown disturbances, we present a robust adaptive backstepping control scheme based on the radial basis functio...
Algorithms to Compute the Largest Invariant Set Contained in an Algebraic Set for Continuous-Time and Discrete-Time Nonlinear Systems
Laura Menini, Corrado Possieri, Antonio Tornambè
2020, 7(1): 57-69. doi: 10.1109/JAS.2019.1911819
Abstract(1519) HTML (990) PDF(84)
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In this paper, some computational tools are proposed to determine the largest invariant set, with respect to either a continuous-time or a discrete-time system, that is contained in an algebraic set. In particular, it is shown that if the vector field governing the dynamics of the system is polynomi...
Asynchronous Observer Design for Switched Linear Systems: A Tube-Based Approach
Minghao Han, Ruixian Zhang, Lixian Zhang, Ye Zhao, Wei Pan
2020, 7(1): 70-81. doi: 10.1109/JAS.2019.1911822
Abstract(2615) HTML (728) PDF(134)
Abstract:
This paper proposes a tube-based method for the asynchronous observation problem of discrete-time switched linear systems in the presence of amplitude-bounded disturbances. Sufficient stability conditions of the nominal observer error system under mode-dependent persistent dwell-time (MPDT) switchin...
Deep Imitation Learning for Autonomous Vehicles Based on Convolutional Neural Networks
Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Saeid Nahavandi
2020, 7(1): 82-95. doi: 10.1109/JAS.2019.1911825
Abstract(15096) HTML (1051) PDF(419)
Abstract:
Providing autonomous systems with an effective quantity and quality of information from a desired task is challenging. In particular, autonomous vehicles, must have a reliable vision of their workspace to robustly accomplish driving functions. Speaking of machine vision, deep learning techniques, an...
Memory Analysis for Memristors and Memristive Recurrent Neural Networks
Gang Bao, Yide Zhang, Zhigang Zeng
2020, 7(1): 96-105. doi: 10.1109/JAS.2019.1911828
Abstract(2338) HTML (552) PDF(115)
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Traditional recurrent neural networks are composed of capacitors, inductors, resistors, and operational amplifiers. Memristive neural networks are constructed by replacing resistors with memristors. This paper focuses on the memory analysis, i.e. the initial value computation, of memristors. Firstly...
A Delay-Dependent Anti-Windup Compensator for Wide-Area Power Systems With Time-Varying Delays and Actuator Saturation
Maddela Chinna Obaiah, Bidyadhar Subudhi
2020, 7(1): 106-117. doi: 10.1109/JAS.2019.1911558
Abstract(1556) HTML (570) PDF(81)
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In this paper, a delay-dependent anti-windup compensator is designed for wide-area power systems to enhance the damping of inter-area low-frequency oscillations in the presence of time-varying delays and actuator saturation using an indirect approach. In this approach, first, a conventional wide-are...
Sliding Mode Control of Coupled Tank Systems Using Conditional Integrators
Sankata Bhanjan Prusty, Sridhar Seshagiri, Umesh Chandra Pati, Kamala Kanta Mahapatra
2020, 7(1): 118-125. doi: 10.1109/JAS.2019.1911831
Abstract(2085) HTML (564) PDF(219)
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For the problem of set point regulation of the liquid level in coupled tank systems, we present a continuous sliding mode control (SMC) with a " conditional integrator”, which only provides integral action inside the boundary layer. For a special choice of the controller parameters, our design can b...
Suppression of Chaotic Behaviors in a Complex Biological System by Disturbance Observer-based Derivative-Integral Terminal Sliding Mode
Dianwei Qian, Hui Ding, SukGyu Lee, Hyansu Bae
2020, 7(1): 126-135. doi: 10.1109/JAS.2019.1911834
Abstract(1374) HTML (538) PDF(79)
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Coronary artery systems are a kind of complex biological systems. Their chaotic phenomena can lead to serious health problems and illness development. From the perspective of engineering, this paper investigates the chaos suppression problem. At first, nonlinear dynamics of coronary artery systems a...
Position Control of a Flexible Manipulator Using a New Nonlinear Self-Tuning PID Controller
Santanu Kumar Pradhan, Bidyadhar Subudhi
2020, 7(1): 136-149. doi: 10.1109/JAS.2017.7510871
Abstract(1433) HTML (525) PDF(147)
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In this paper, a new nonlinear self-tuning PID controller (NSPIDC) is proposed to control the joint position and link deflection of a flexible-link manipulator (FLM) while it is subjected to carry different payloads. Since, payload is a critical parameter of the FLM whose variation greatly influence...
Self-triggered Consensus Control for Linear Multi-agent Systems With Input Saturation
Yanxu Su, Qingling Wang, Changyin Sun
2020, 7(1): 150-157. doi: 10.1109/JAS.2019.1911837
Abstract(1684) HTML (517) PDF(112)
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In this paper, we study the consensus problem for a class of linear multi-agent systems (MASs) with consideration of input saturation under the self-triggered mechanism. In the context of discrete-time systems, a self-triggered strategy is developed to determine the time interval between the adjacen...
Distributed H2/H Filter Design for Discrete-Time Switched Systems
Alyazidi Nezar M., Mahmoud Magdi S.
2020, 7(1): 158-168. doi: 10.1109/JAS.2019.1911630
Abstract(1203) HTML (510) PDF(60)
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This paper addresses an infinite horizon distributed HH2/HH filtering for discrete-time systems under conditions of bounded power and white stochastic signals. The filter algorithm is designed by computing a pair of gains namely the estimator and the coupling. Herein, ...
Fractionally Delayed Kalman Filter
Abhinoy Kumar Singh
2020, 7(1): 169-177. doi: 10.1109/JAS.2019.1911840
Abstract(1505) HTML (532) PDF(113)
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The conventional Kalman filter is based on the assumption of non-delayed measurements. Several modifications appear to address this problem, but they are constrained by two crucial assumptions: 1) the delay is an integer multiple of the sampling interval, and 2) a stochastic model representing the r...
Type-2 Fuzzy Control for Driving State and Behavioral Decisions of Unmanned Vehicle
Xuanming Zhao, Hong Mo, Kefu Yan, Lingxi Li
2020, 7(1): 178-186. doi: 10.1109/JAS.2019.1911810
Abstract(1586) HTML (454) PDF(80)
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In this paper, interval type-2 fuzzy sets, fuzzy comprehensive evaluation and the fuzzy control rules are synthesized to realize the control of unmanned vehicle in driving state and behavioral decisions. Compared to the type-1 fuzzy set, type-2 fuzzy sets have more advantages in handling the model b...
Design of a Robust Optimal Decentralized PI Controller Based on Nonlinear Constraint Optimization For Level Regulation: An Experimental Study
Soumya Ranjan Mahapatro, Bidyadhar Subudhi, Sandip Ghosh
2020, 7(1): 187-199. doi: 10.1109/JAS.2019.1911516
Abstract(2248) HTML (943) PDF(76)
Abstract:
This paper presents the development of a new robust optimal decentralized PI controller based on nonlinear optimization for liquid level control in a coupled tank system. The proposed controller maximizes the closed-loop bandwidth for specified gain and phase margins, with constraints on the oversho...
A Local Contrast Fusion Based 3D Otsu Algorithm for Multilevel Image Segmentation
Ashish Kumar Bhandari, Arunangshu Ghosh, Immadisetty Vinod Kumar
2020, 7(1): 200-213. doi: 10.1109/JAS.2019.1911843
Abstract(2175) HTML (583) PDF(140)
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To overcome the shortcomings of 1D and 2D Otsu’s thresholding techniques, the 3D Otsu method has been developed. Among all Otsu’s methods, 3D Otsu technique provides the best threshold values for the multi-level thresholding processes. In this paper, to improve the quality of segmented images, a sim...
Text Detection in Natural Scene Images Using Morphological Component Analysis and Laplacian Dictionary
Shuping Liu, Yantuan Xian, Huafeng Li, Zhengtao Yu
2020, 7(1): 214-222. doi: 10.1109/JAS.2017.7510427
Abstract(1340) HTML (516) PDF(65)
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Text in natural scene images usually carries abundant semantic information. However, due to variations of text and complexity of background, detecting text in scene images becomes a critical and challenging task. In this paper, we present a novel method to detect text from scene images. Firstly, we ...
A Hyper-Heuristic Framework for Lifetime Maximization in Wireless Sensor Networks With A Mobile Sink
Jinghui Zhong, Zhixing Huang, Liang Feng, Wan Du, Ying Li
2020, 7(1): 223-236. doi: 10.1109/JAS.2019.1911846
Abstract(1302) HTML (499) PDF(40)
Abstract:
Maximizing the lifetime of wireless sensor networks (WSNs) is an important and challenging research problem. Properly scheduling the movements of mobile sinks to balance the energy consumption of wireless sensor network is one of the most effective approaches to prolong the lifetime of wireless sens...
A Large Dynamic Range Floating Memristor Emulator With Equal Port Current Restriction
Yifei Pu, Bo Yu
2020, 7(1): 237-243. doi: 10.1109/JAS.2019.1911849
Abstract(1858) HTML (628) PDF(53)
Abstract:
In this paper, a large dynamic range floating memristor emulator (LDRFME) with equal port current restriction is proposed to be achieved by a large dynamic range floating voltage-controlled linear resistor (VCLR). Since real memristors have not been largely commercialized until now, the application ...
Robust Control of a Bevel-Tip Needle for Medical Interventional Procedures
Surender Hans, Felix Orlando Maria Joseph
2020, 7(1): 244-256. doi: 10.1109/JAS.2019.1911660
Abstract(1998) HTML (842) PDF(84)
Abstract:
In minimally invasive surgery, one of the main objectives is to ensure safety and target reaching accuracy during needle steering inside the target organ. In this research work, the needle steering approach is determined using a robust control algorithm namely the integral sliding mode control (ISMC...
Novel Stability Criteria for Sampled-Data Systems With Variable Sampling Periods
Hanyong Shao, Jianrong Zhao, Dan Zhang
2020, 7(1): 257-262. doi: 10.1109/JAS.2017.7510376
Abstract(1077) HTML (478) PDF(74)
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This paper is concerned with a novel Lyapunov-like functional approach to the stability of sampled-data systems with variable sampling periods. The Lyapunov-like functional has four striking characters compared to usual ones. First, it is time-dependent. Second, it may be discontinuous. Third, not e...
A New Fire Detection Method Using a Multi-Expert System Based on Color Dispersion, Similarity and Centroid Motion in Indoor Environment
Teng Wang, Leping Bu, Zhikai Yang, Peng Yuan, Jineng Ouyang
2020, 7(1): 263-275. doi: 10.1109/JAS.2019.1911546
Abstract(1393) HTML (498) PDF(59)
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In this paper, a video fire detection method is proposed, which demonstrated good performance in indoor environment. Three main novel ideas have been introduced. Firstly, a flame color model in RGB and HIS color space is used to extract pre-detected regions instead of traditional motion differential...
A Self-Organizing RBF Neural Network Based on Distance Concentration Immune Algorithm
Junfei Qiao, Fei Li, Cuili Yang, Wenjing Li, Ke Gu
2020, 7(1): 276-291. doi: 10.1109/JAS.2019.1911852
Abstract(1359) HTML (518) PDF(63)
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Radial basis function neural network (RBFNN) is an effective algorithm in nonlinear system identification. How to properly adjust the structure and parameters of RBFNN is quite challenging. To solve this problem, a distance concentration immune algorithm (DCIA) is proposed to self-organize the struc...
Distributed Adaptive Cooperative Tracking of Uncertain Nonlinear Fractional-order Multi-agent Systems
Zhitao Li, Lixin Gao, Wenhai Chen, Yu Xu
2020, 7(1): 292-300. doi: 10.1109/JAS.2019.1911858
Abstract(1125) HTML (535) PDF(94)
Abstract:
In this paper, the leader-following tracking problem of fractional-order multi-agent systems is addressed. The dynamics of each agent may be heterogeneous and has unknown nonlinearities. By assumptions that the interaction topology is undirected and connected and the unknown nonlinear uncertain dyna...
Guidance Control for Parallel Parking Tasks
Jiyuan Tan, Chunling Xu, Li Li, Fei-Yue Wang, Dongpu Cao, Lingxi Li
2020, 7(1): 301-306. doi: 10.1109/JAS.2019.1911855
Abstract(1561) HTML (584) PDF(96)
Abstract:
Parking into small berths remains difficult for unskilled drivers. Researchers had proposed different automatic parking systems to solve this problem. The first kind of strategies (called parking trajectory planning) designs a detailed reference trajectory that links the start and ending points of a...
Event-Triggered Sliding Mode Control for Trajectory Tracking of Nonlinear Systems
Aquib Mustafa, Narendra K. Dhar, Nishchal K Verma
2020, 7(1): 307-314. doi: 10.1109/JAS.2019.1911654
Abstract(1752) HTML (483) PDF(197)
Abstract:
In this paper, an event-triggered sliding mode control approach for trajectory tracking problem of nonlinear input affine system with disturbance has been proposed. A second order robotic manipulator system has been modeled into a general nonlinear input affine system. Initially, the global asymptot...