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A novel training method based on variable structure systems theory for fuzzy neural networks 基于变结构系统理论的模糊神经网络训练新方法
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945757
O. Cigdem, E. Kayacan, M. A. Khanesar, O. Kaynak, M. Teshnehlab
{"title":"A novel training method based on variable structure systems theory for fuzzy neural networks","authors":"O. Cigdem, E. Kayacan, M. A. Khanesar, O. Kaynak, M. Teshnehlab","doi":"10.1109/CICA.2011.5945757","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945757","url":null,"abstract":"Uncertainty is an inevitable problem in real-time industrial control systems and, to handle this problem and the additional one of possible variations in the parameters of the system, the use of sliding mode control theory-based approaches is frequently suggested. In this paper, instead of using a conventional sliding mode controller, a sliding mode control theory-based learning algorithm is proposed to train the fuzzy neural networks in a feedback-error-learning structure. The parameters of the fuzzy neural network are tuned by the proposed algorithm not to minimize the error function but to ensure that the error satisfies a stable equation. The parameter update rules of the fuzzy neural network are derived, and the proof of the learning algorithm is verified by using the Lyapunov stability method. The proposed method is tested on a real-time servo system with time-varying and nonlinear load conditions.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"5 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132463443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Optimization of model predictive control by means of sequential parameter optimization 用序贯参数优化方法优化模型预测控制
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945754
A. Davtyan, Stefan Hoffmann, R. Scheuring
{"title":"Optimization of model predictive control by means of sequential parameter optimization","authors":"A. Davtyan, Stefan Hoffmann, R. Scheuring","doi":"10.1109/CICA.2011.5945754","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945754","url":null,"abstract":"A methodology is developed for automatically tuning the main parameters of model predictive control (MPC) such as prediction horizon, control horizon and control interval. The tuning of parameters is done by means of sequential parameter optimization. In the process of optimization one of the major issues is the choice of an objective function. Several types of objective functions are tested in order to choose the one which solves the MPC tuning problem most adequate. In addition, different scenarios are analyzed if an exact model of the true plant does not exist.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122061573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Effects of parameter values and noise on PSO-based predictive control: An empirical study 参数值和噪声对基于pso的预测控制影响的实证研究
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945743
M. Yousuf, H. Al-Duwaish
{"title":"Effects of parameter values and noise on PSO-based predictive control: An empirical study","authors":"M. Yousuf, H. Al-Duwaish","doi":"10.1109/CICA.2011.5945743","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945743","url":null,"abstract":"In this paper, a Particle Swarm Optimization (PSO) based Model Predictive Control (MPC) scheme is studied through a variety of tests to better understand its behavior and characteristics. The technique has already been presented in the literature. Here, the PSO and MPC parameters are varied to study the effects on the quality of control and system dynamics. Model mismatch and noise are also introduced to test the controller performance. The results from various tests are compared and conclusions are drawn.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"629 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120846652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Decision making in adaptive manufacturing systems: Multi-objective scheduling and user interface 自适应制造系统中的决策:多目标调度与用户界面
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945758
B. Klöpper, S. Honiden, J. Pater, W. Dangelmaier
{"title":"Decision making in adaptive manufacturing systems: Multi-objective scheduling and user interface","authors":"B. Klöpper, S. Honiden, J. Pater, W. Dangelmaier","doi":"10.1109/CICA.2011.5945758","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945758","url":null,"abstract":"Adaptive and service-oriented manufacturing proposes manufacturing systems which can be rapidly changed in accordance to changing production programs and customer individual production. Increasing customer specific manufacturing and new trends such as Sustainable Manufacturing create a complex system of objectives. Human dispatcher controlling these manufacturing systems must be properly supported to consider all required objectives. Due to the reduced insight into the adapting manufacturing systems, classical single optimization approaches with a rigid definition of a single objective function and hard optimization constraints are not appropriate any more. This paper introduces a decision making framework based on multi-objective scheduling. The decision making process consists of a multi-objective scheduling process and an interface for schedule selection. The interface combines the decision making approaches outranking and preference elicitation.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131016239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
L-infinity analysis of Hopfield networks Hopfield网络的l -无穷分析
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945751
A. Stoica, I. Yaesh
{"title":"L-infinity analysis of Hopfield networks","authors":"A. Stoica, I. Yaesh","doi":"10.1109/CICA.2011.5945751","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945751","url":null,"abstract":"A non symmetric version of Hopfield networks subject to bounded disturbances is considered. Such networks arise in the context of visuo-motor control loops and may, therefore, be used to mimic their complex behavior. In this paper, we adopt the Lur'e-Postnikov systems approach to analyze the induced L∞8 gain of generalized Hopfield networks. The results are illustrated via a simple numerical example.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"IA-18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126559422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reconfiguring connected resource distribution systems 重新配置连接的资源分配系统
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945745
P. Rosendall, M. Pekala, D. Scheidt
{"title":"Reconfiguring connected resource distribution systems","authors":"P. Rosendall, M. Pekala, D. Scheidt","doi":"10.1109/CICA.2011.5945745","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945745","url":null,"abstract":"In this paper we consider complex mechanical systems that operate within harsh, uncertain environments where mission success depends critically upon the system's ability to monitor and maintain its own internal health. In particular, we focus on the problem of reconfiguring a system's internal resource distribution subsystems in response to one or more damage events. We present a graph-based approach that guarantees the resulting states adhere to a desirable resource segregation constraint. We also provide results using this approach in conjunction with optimization techniques to reconfigure a representative hardware test platform.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122234996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Noise considerations and cryptanalysis of chaos-based secure communication systems 基于混沌的保密通信系统的噪声考虑和密码分析
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945767
A. Zaher, A. Abu-Rezq
{"title":"Noise considerations and cryptanalysis of chaos-based secure communication systems","authors":"A. Zaher, A. Abu-Rezq","doi":"10.1109/CICA.2011.5945767","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945767","url":null,"abstract":"This paper discusses the topic of using chaotic models for constructing secure communication systems. It investigates two different case studies that use encryption/decryption functions with varying degrees of complexity and performance. The first case study explores the use of an improved cryptography method for scrambling the transmitted signal. The improvement is based on using both the transmitter states and parameters for performing the encryption. The second case study augments a parameter update law to the previous design such that the encryption method is more robust. It uses a decoupling technique for which the synchronization process is completely isolated from the parameter identification algorithm. The effect of using a noisy public channel is investigated. The security of the proposed methods and their advantages and limitation are analyzed using intruder return map attacks to the communication channel. The Lorenz system was used to exemplify the suggested techniques, while transmitting a digital signal. The paper ends with a discussion that investigates various techniques to optimize the performance of the proposed systems.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123385244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Control parameter design for robot vehicle based on numerical simulation and heuristic optimization - Feed-back controller design for trajectory tracking under strict physical constraints in wide speed range - 基于数值模拟和启发式优化的机器人车辆控制参数设计——严格物理约束下大速度范围内轨迹跟踪的反馈控制器设计
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945752
Atsushi Watanabe, A. Ohya, S. Yuta
{"title":"Control parameter design for robot vehicle based on numerical simulation and heuristic optimization - Feed-back controller design for trajectory tracking under strict physical constraints in wide speed range -","authors":"Atsushi Watanabe, A. Ohya, S. Yuta","doi":"10.1109/CICA.2011.5945752","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945752","url":null,"abstract":"For the construction of the mobile robot system, it is necessary to determine a lot of parameters like the feedback gain and the clip parameters of artificial saturation. And it is difficult to decide suitable parameters by analytical technique because of its non-linearity and complexity. In this paper, we propose the method of the mobile robot control system parameter design by a numerical simulation and heuristic optimization using the enough computer power. We describe the model of the system as iterative numerical calculation instead of analytical time function. This model can suit the real control system, and it is straightforward to be built. And we show the experimental results of the automatically decided feedback gains by using proposed method for the linear feedback trajectory tracking controller of the small-sized autonomous mobile robot system, which runs in relatively high speed up to 5 meters per second as an example.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127704665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Algorithm for finding the moving direction of a vehicle using magnetic sensor 利用磁传感器寻找车辆运动方向的算法
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945760
Bonghuyn Lee, Jung-Han Kim
{"title":"Algorithm for finding the moving direction of a vehicle using magnetic sensor","authors":"Bonghuyn Lee, Jung-Han Kim","doi":"10.1109/CICA.2011.5945760","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945760","url":null,"abstract":"To improve the efficiency of the intelligent transportation system, the study on the detection of speed and moving direction of a vehicle has been researched recently. Conventional method to detect the moving direction of a vehicle is to use two separate sensor units under vehicle road, which results in expensive cost and long installation time. In this research, a novel method of detecting the moving direction of a vehicle using only one sensor unit is proposed. The newest magnetic sensor is multi-axis detectable and occupies very small space. The proposed detection scheme uses a 2-axis magnetic sensor, low cost microcontroller, and signal processing technique. The designed sensor for detection of the direction of a vehicle is easy to install and less expensive than other type sensor. Experimental results showed that the proposed algorithm sensor was very effective and reliable.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128577290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Power system stabilizer tuning study of east-central power system in Saudi Arabia 沙特阿拉伯东中部电力系统稳定器整定研究
Computational Intelligence in Control and Automation (CICA) Pub Date : 2011-04-11 DOI: 10.1109/CICA.2011.5945759
M. Abido
{"title":"Power system stabilizer tuning study of east-central power system in Saudi Arabia","authors":"M. Abido","doi":"10.1109/CICA.2011.5945759","DOIUrl":"https://doi.org/10.1109/CICA.2011.5945759","url":null,"abstract":"This paper presents a study of tuning the existing power system stabilizers (PSSs) of the Saudi Electricity Company (SEC) power system and its effect on increasing the power transfer limit of the interconnection between Eastern Operating Area (SECE-OA) and Central Operating Area (SEC-COA). This work is also investigating the optimal location of installing additional power system stabilizers (PSSs) in SEC-EOA / SEC-COA system in order to enhance the damping characteristics of low frequency oscillations. The severely disturbed machines for a major fault disturbance have been identified. The parameters of the existing PSSs in addition to the candidate stabilizers have been tuned and optimized. The effectiveness of the suggested technique in enhancing the power system dynamic stability and extending the power transfer capability limit of the SEC-EOA and the SEC-COA power system was verified through a comprehensive linear analysis and time-domain nonlinear simulation.","PeriodicalId":420555,"journal":{"name":"Computational Intelligence in Control and Automation (CICA)","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122779216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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