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International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)
2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)
13-15 Nov. 2020
Showing 1-25 of 161
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Information, Cybernetics, and Computational Social Systems (ICCSS), 2020 7th International Conference on
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ICCSS 2020 2020 International Conference on Information, Cybernetics, and Computational Social Systems
Publication Year: 2020,Page(s):1 - 1
ICCSS 2020 2020 International Conference on Information, Cybernetics, and Computational Social Systems
Conference Digest 2020 International Conference on Information, Cybernetics, and Computational Social Systems IEEE ICCSS 2020
Publication Year: 2020,Page(s):1 - 1
Conference Digest 2020 International Conference on Information, Cybernetics, and Computational Social Systems IEEE ICCSS 2020
2020 International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) [Copyright notice]
Publication Year: 2020,Page(s):1 - 1
2020 International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) [Copyright notice]
Table of Contents
Event-Triggered Filter of Switched Positive Systems with State Saturation
Publication Year: 2020,Page(s):1 - 6
Cited by: Papers (1)
This paper investigates the event-triggered filter of switched positive systems subject to state saturation. First, a filter is constructed for switched positive systems. An error system is obtained by combining the switched systems and the filter. Under the event-triggering condition, the error system is transformed into an interval system. Linear programming is employed to design the gain matric...Show More
Distributed Adaptive Approach for Uncertain Nonlinear Multi-Agent Systems with Unknown Actuator Failures and Unknown Disturbances
Publication Year: 2020,Page(s):7 - 12
Cited by: Papers (1)
This paper investigates the distributed infinite-time control problem and distributed finite-time control problem for a class of uncertain nonlinear multi-agent systems with unknown actuator failures and unknown disturbances. By introducing distributed adaptive control technique, fuzzy logic systems and a bound estimation approach, two novel distributed fault-tolerant adaptive fuzzy control method...Show More
A PV Power Grid-Connected Inverter Current Tracking Control Scheme via Data-Driven Q-Learning Algorithm
Publication Year: 2020,Page(s):13 - 18
In this paper the output current tracking control problem for a PV grid-connected inverter is considered with unknown its dynamics. The performance of the controllers designed with the rated parameters will decrease when the inverter's parameters change for some reasons as the decay of its components. As such an adaptive optimal controller, which does not depend on the prior parameters, is propose...Show More
Multi-operation Conditions Prediction Based on Least Square Support Vector Machine for Blast Furnace Gas System in Steel Industry
Publication Year: 2020,Page(s):19 - 24
Cited by: Papers (5)
It is very significant to predict the trend of the level of gas-holder in the blast furnace gas (BFG) system for controlling and scheduling the energy system in steel enterprises. A multi-operation conditions prediction approach for the level of gasholder is proposed in this paper, where the correlation coefficients between the difference of energy generation and consumption and the first differen...Show More
Network-Design of Virtual Drum Boiler Feedwater Control System
Publication Year: 2020,Page(s):25 - 30
To solve the difficult problem of the thermal process experiment in education and training, this paper develops a drum boiler feedwater control system based on the Networked Control System Laboratory (NCSLab). The task of automatic control of the feed water of the drum boiler is to adapt the water supply of the boiler to the evaporation capacity of the boiler to maintain the water level of the dru...Show More
Fuzzy PID Combined with Smith Predictor Control of GSHP Terminal Fan System
Shijun Chen;Yue Fei;Songsong Zheng;Kang Pan;Tao Zhang;Qinmin Yang
Publication Year: 2020,Page(s):31 - 36
Cited by: Papers (1)
Ground source heat pump (GSHP) is a promising meaning for “replacing coal with electricity”, which demonstrates time-varying and large time-delay characteristics in its dynamics. Therefore, it is of great significance to design a more efficient control algorithm with strong adaptivity. In this paper, a mathematical model is established for the user-side terminal fan system of GSHP. Subsequently, b...Show More
Pathogenic Factors Mining Based on Medical Big Data Using Association Analysis Algorithm: A Case of Anorectal Diseases
Publication Year: 2020,Page(s):37 - 41
Guangdong Province is a district with a high incidence of anorectal diseases. In addition, the pathogenic factors of anorectal diseases are complex and diverse. Existing clinical diagnostic techniques are difficult to accurately analyze the pathogenic factors of anorectal diseases. Therefore, in this paper, an association analysis algorithm is proposed for solving the problem of pathogenic factors...Show More
This paper deals with the issue of dynamic event-triggered control for Takagi-Sugeno fuzzy nonlinear systems via a sliding-mode control scheme. Firstly, a typical sliding mode system is set up by applying a relevant sliding mode function and a useful event-based method. Then, by employing the different Lyapunov function and reciprocally convex approach, some sufficient conditions are obtained to e...Show More
Adaptive Fuzzy Control for A Single-Link Flexible-Joint Robotic Manipulator with Output Constraint
Publication Year: 2020,Page(s):46 - 51
Cited by: Papers (1)
An adaptive fuzzy controller is designed in this paper for a single-link flexible-joint robotic manipulator subject to output constraint. The fuzzy logic systems are employed to identify the unsuspected nonlinearity. The barrier Lyapunov function is constructed to guarantee that the output of the robotic manipulator is not to violate it constraint. The event-driven control law is developed based o...Show More
Segmentation Algorithm for 3D LiDAR Point Cloud Based on Region Clustering
Publication Year: 2020,Page(s):52 - 57
Cited by: Papers (3)
Environmental perception is a key technology in autonomous cars and mobile robotics system. The clustering and segmentation of the point cloud data obtained by sensors is an important step to realize environmental perception. In order to solve the shortcomings of over-segmentation in some current segmentation algorithms, a fast segmentation algorithm for 3D LIDAR cloud points is proposed. The Grou...Show More
Artificial Potential-Based Formation Control with Collision and Obstacle Avoidance for Second-order Multi-Agent Systems
Publication Year: 2020,Page(s):58 - 63
Cited by: Papers (10)
A formation control strategy with collision avoidance and obstacle avoidance mechanisms is proposed for second-order continuous multi-agent systems (MAS) under a directed topology. The control objectives can be achieved by introducing artificial potential field (APF) methods and the leader-follower formation methods. The leader-follower formation methods are employed to assist follower agents to o...Show More
Traffic Flow Prediction based on Time Information
Zefei Chen;Jianmin Xu;Yongjie Lin;Bin Feng;Dongmei Liao;Hongtao Lin
Publication Year: 2020,Page(s):64 - 71
Cited by: Papers (1)
With the increasing number of urban vehicles, traffic congestion has become increasingly serious. Predicting traffic flow and take corresponding measures, which plays a pivotal role in easing traffic congestion. At present, many researchers have done a lot of research on the temporal and spatial correlation of traffic flow in the traffic network. Meanwhile, the traffic flow has a strong periodicit...Show More
Dynamic Multiobjective Optimal Control with Knowledge-Decision for Wastewater Treatment Process
Publication Year: 2020,Page(s):72 - 78
Cited by: Papers (2)
Optimal control system plays an important role in the stability and safety of wastewater treatment process (WWTP). However, because of the dynamic complex mechanism of WWTP, it is challenging to decide the suitable set-points of manipulated variables for improving optimal control performance in the dynamic complex environment. Therefore, a dynamic multiobjective optimal control with knowledge-deci...Show More
A New Continuous-Time Policy Iteration for Time-Varying Nonlinear Systems
Qinglai Wei;Yuzhen Zhang;Zehua Liao;Ruizhuo Song;Tianmin Zhou;Xiang Cheng
Publication Year: 2020,Page(s):79 - 83
A new optimization method for time-varying nonlinear systems named continuous-time policy iteration (CTPI) method is designed, which is a kind of adaptive critic design (ACD). Iterative control law in CTPI is established to solve the generalized Hamilton-Jacobi-Bellman (HJB) equation in each iteration. In order to avoid the partial differential equation, neural networks are used in CTPI algorithm....Show More
Sufficient and Necessary Condition for Resilient Consensus under Time-varying Topologies
Publication Year: 2020,Page(s):84 - 89
Cited by: Papers (3)
Although quite a few results on resilient consensus of multi-agent systems with malicious agents and fixed topology have been reported in the literature, we lack any known results on such a problem for multi-agent systems with time-varying topologies. Herein, we study the resilient consensus problem of time-varying networked systems in the presence of misbehaving nodes. A novel concept of joint ( ...Show More
Energy Based Optimal Dynamic Stealth False Data Injection Attacks on the Smart Grid
Publication Year: 2020,Page(s):90 - 95
Cited by: Papers (1)
The false data injection attack is a typical cyber attack method which seriously endangers the security of power systems. Most studies of false data injection attacks regard it as a one-shot event, including the researches on the development of attack methods. However, this cannot fully demonstrate the threats of false data injection attacks. Therefore, this paper takes the dynamic behavior of the...Show More
Fuzzy Control for Networked Systems Using Quantizer with Triggering Strategy
Publication Year: 2020,Page(s):96 - 101
Cited by: Papers (1)
This paper presents a quantizer based triggering strategy for networked systems to reduce the number of transmitted data packets. Referring to the property of quantizer and event triggering concept, we employ a triggering strategy to prevent the transmitting of repeated data packets thus save the relevant resources without inducing complexity of analysis. Then, network induced issues such as trans...Show More
For a robot to be able to autonomously interact with its environment knowing only the type and location of the objects is not enough. A robot should also know what is the use of each object to be able to benefit from them. This led to the introduction of affordance detection as a crucial area of research in computer vision and robot perception in particular. In this work, a new one-stage affordanc...Show More
Large Port Energy Management Based on Distributed Optimization
Publication Year: 2020,Page(s):108 - 113
Cited by: Papers (7)
With the development of marine transport and expansion of the port scale, the port has become the energy intensive area and may evoke the pollution of surrounding environment. This paper studies the large port energy systems including integrated renewable energy, energy storage devices, plugged-in electric vehicles and shore to ship power supply. Based on the knowledge of multi-agent systems and d...Show More
State estimation for quaternion-valued neural networks with neutral delay
Zhengwen Tu;Yachun Yang;Dandan Wang;Lei Shi;Tao Peng;Xinsong Yang;Xiaoshuai Ding
Publication Year: 2020,Page(s):114 - 117
This essay focuses on the state estimation for quaternion-valued neural networks(QVNNs) with neutral delay. Some concise and natural conditions are established with quaternion direct method, and the estimator gain matrix $K$ can be acquired via solving a quaternion-valued LMI. Moreover, the delay-partitioning approach is adopted to obtain less conservation results. Finally, simulation results are ...Show More
SorrRS: Social recommendation incorporating rating similarity and user relationships analysis
Publication Year: 2020,Page(s):118 - 123
Cited by: Papers (2)
Recently, collaborative filtering (CF) algorithms have played an important role in recommendation systems. However, the traditional CF algorithms cannot make full use of information (e.g., users' preference, social relationship, and so on) implied in check-ins of users in the recommendation process. In order to address this issue, in this paper, a recommendation framework is proposed by exploiting...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Information, Cybernetics, and Computational Social Systems (ICCSS), 2020 7th International Conference on
- Print on DemandPurchase at Partner
- External Hard-drivePurchase at Partner
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