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

Vol. 4,  No. 1, 2017

column
  Previous Issue | Next Issue 
Display Method:
EDITORIAL
PDP: Parallel Dynamic Programming
Fei-Yue Wang, Jie Zhang, Qinglai Wei, Xinhu Zheng, Li Li
2017, 4(1): 1-5.
Abstract(1237) HTML (819) PDF(42)
Abstract:

Deep reinforcement learning is a focus research area in artificial intelligence. The principle of optimality in dynamic programming is a key to the success of reinforcement learning methods. The principle of adaptive dynamic programming (ADP) is first presented instead of direct dynamic programming ...
ERVIEWS
Toward Cloud Computing QoS Architecture: Analysis of Cloud Systems and Cloud Services
M.H. Ghahramani, MengChu Zhou, Chi Tin Hon
2017, 4(1): 6-18.
Abstract(1885) HTML (896) PDF(43)
Abstract:
Cloud can be defined as a new computing paradigm that provides scalable, on-demand, and virtualized resources for users. In this style of computing, users can access a shared pool of computing resources which are provisioned with minimal management efforts of users. Yet there are some obstacles and ...
Social Media Based Transportation Research: the State of the Work and the Networking
Yisheng Lv, Yuanyuan Chen, Xiqiao Zhang, Yanjie Duan, Naiqiang Li
2017, 4(1): 19-26.
Abstract(1698) HTML (798) PDF(76)
Abstract:
Recently, there has been an increased interest in the use of social media data as important traffic information sources. In this paper, we review social media based transportation research with social network analysis methods.We summarize main research topics in this field, and report collaboration ...
Review on Cyber-physical Systems
Yang Liu, Yu Peng, Bailing Wang, Sirui Yao, Zihe Liu
2017, 4(1): 27-40.
Abstract(3087) HTML (1169) PDF(170)
Abstract:
Cyber-physical systems (CPS) are complex systems with organic integration and in-depth collaboration of computation, communications and control (3C) technology. Subject to the theory and technology of existing network systems and physical systems, the development of CPS is facing enormous challenges...
PAPERS
Determination of Polynomial Degree in the Regression of Drug Combinations
Boqian Wang, Xianting Ding, Fei-Yue Wang
2017, 4(1): 41-47.
Abstract(1200) HTML (818) PDF(14)
Abstract:
Studies on drug combinations are becoming more and more popular in the past few decades, with the development of computer and algorithms. One of the most common methods in optimizing drug combinations is regression of a polynomial model based on certain number of experimental observations. In this p...
Observer-based Adaptive Optimal Control for Unknown Singularly Perturbed Nonlinear Systems With Input Constraints
Zhijun Fu, Wenfang Xie, Subhash Rakheja, Jing Na
2017, 4(1): 48-57.
Abstract(1224) HTML (849) PDF(34)
Abstract:
This paper introduces an observer-based adaptive optimal control method for unknown singularly perturbed nonlinear systems with input constraints. First, a multi-time scales dynamic neural network (MTSDNN) observer with a novel updating law derived from a properly designed Lyapunov function is propo...
Synthesis of Fractional-order PI Controllers and Fractional-order Filters for Industrial Electrical Drives
Paolo Lino, Guido Maione, Silvio Stasi, Fabrizio Padula, Antonio Visioli
2017, 4(1): 58-69.
Abstract(1225) HTML (822) PDF(42)
Abstract:
This paper introduces an electrical drives control architecture combining a fractional-order controller and a setpoint pre-filter. The former is based on a fractional-order proportional-integral (PI) unit, with a non-integer order integral action, while the latter can be of integer or non-integer ty...
Maximum Power Point Tracking With Fractional Order High Pass Filter for Proton Exchange Membrane Fuel Cell
Jianxin Liu, Tiebiao Zhao, YangQuan Chen
2017, 4(1): 70-79.
Abstract(1280) HTML (810) PDF(21)
Abstract:
Proton exchange membrane fuel cell (PEMFC) is widely recognized as a potentially renewable and green energy source based on hydrogen. Maximum power point tracking (MPPT) is one of the most important working conditions to be considered. In order to improve the performance such as convergence and robu...
Constrained Fractional Variational Problems of Variable Order
Dina Tavares, Ricardo Almeida, Delfim F. M. Torres
2017, 4(1): 80-88. doi: 10.1109/JAS.2017.7510331
Abstract(1635) HTML (1059) PDF(323)
Abstract:
Isoperimetric problems consist in minimizing or maximizing a cost functional subject to an integral constraint. In this work, we present two fractional isoperimetric problems where the Lagrangian depends on a combined Caputo derivative of variable fractional order and we present a new variational pr...
Robust Attitude Control for Reusable Launch Vehicles Based on Fractional Calculus and Pigeon-inspired Optimization
Qiang Xue, Haibin Duan
2017, 4(1): 89-97.
Abstract(1224) HTML (839) PDF(19)
Abstract:
In this paper, a robust attitude control system based on fractional order sliding mode control and dynamic inversion approach is presented for the reusable launch vehicle (RLV) during the reentry phase. By introducing the fractional order sliding surface to replace the integer order one, we design r...
Numerical Solutions of Fractional Differential Equations by Using Fractional Taylor Basis
Vidhya Saraswathy Krishnasamy, Somayeh Mashayekhi, Mohsen Razzaghi
2017, 4(1): 98-106.
Abstract(1307) HTML (812) PDF(29)
Abstract:
In this paper, a new numerical method for solving fractional differential equations (FDEs) is presented. The method is based upon the fractional Taylor basis approximations. The operational matrix of the fractional integration for the fractional Taylor basis is introduced. This matrix is then utiliz...
Artificial Bee Colony Algorithm-based Parameter Estimation of Fractional-order Chaotic System with Time Delay
Wenjuan Gu, Yongguang Yu, Wei Hu
2017, 4(1): 107-113.
Abstract(1198) HTML (823) PDF(22)
Abstract:
It is an important issue to estimate parameters of fractional-order chaotic systems in nonlinear science, which has received increasing interest in recent years. In this paper, time delay and fractional order as well as system's parameters are concerned by treating the time delay and fractional orde...
Stability Analysis, Chaos Control of Fractional Order Vallis and El-Nino Systems and Their Synchronization
Subir Das, Vijay K Yadav
2017, 4(1): 114-124.
Abstract(1155) HTML (816) PDF(21)
Abstract:
In this article the authors have studied the stability analysis and chaos control of the fractional order Vallis and El-Nino systems. The chaos control of these systems is studied using nonlinear control method with the help of a new lemma for Caputo derivative and Lyapunov stability theory. The syn...
Distributed Model Predictive Load Frequency Control of Multi-area Power System with DFIGs
Zhang Yi, Liu Xiangjie, Qu Bin
2017, 4(1): 125-135.
Abstract(1216) HTML (831) PDF(34)
Abstract:
Reliable load frequency control (LFC) is crucial to the operation and design of modern electric power systems. Considering the LFC problem of a four-area interconnected power system with wind turbines, this paper presents a distributed model predictive control (DMPC) based on coordination scheme. Th...
Secure Consensus Control for Multi-Agent Systems With Attacks and Communication Delays
Yiming Wu, Xiongxiong He
2017, 4(1): 136-142.
Abstract(1177) HTML (808) PDF(26)
Abstract:
This paper addresses the consensus problem for nonlinear multi-agent systems suffering from attacks and communication delays. The network studied in this paper consists of two types of agents, namely, loyal agents and attack agents. The loyal agents update their states based on delayed state informa...
Bad-scenario-set Robust Optimization Framework With Two Objectives for Uncertain Scheduling Systems
Bing Wang, Xuedong Xia, Hexia Meng, Tao Li
2017, 4(1): 143-153.
Abstract(1071) HTML (799) PDF(19)
Abstract:
This paper proposes a robust optimization framework generally for scheduling systems subject to uncertain input data, which is described by discrete scenarios. The goal of robust optimization is to hedge against the risk of system performance degradation on a set of bad scenarios while maintaining a...
Adaptive Maneuvering Frequency Method of Current Statistical Model
Wei Sun, Yongjian Yang
2017, 4(1): 154-160.
Abstract(1230) HTML (822) PDF(14)
Abstract:
Current statistical model (CSM) has a good performance in maneuvering target tracking. However, the fixed maneuvering frequency will deteriorate the tracking results, such as a serious dynamic delay, a slowly converging speedy and a limited precision when using Kalman filter (KF) algorithm. In this ...