2009 17th Mediterranean Conference on Control and Automation最新文献_第5页

Performance of Model-Based Networked Control Systems with discrete-time plants 具有离散时间对象的基于模型的网络控制系统的性能

2009 17th Mediterranean Conference on Control and Automation Pub Date : 2009-06-24 DOI: 10.1109/MED.2009.5164613

T. Estrada, P. Antsaklis

引用次数: 19

Trajectory control of unmanned aerial vehicle using neural nets with a stable learning algorithm 基于稳定学习算法的神经网络无人机轨迹控制

2009 17th Mediterranean Conference on Control and Automation Pub Date : 2009-06-24 DOI: 10.1109/MED.2009.5164656

A. Topalov, N. Shakev, Severina Nikolova, D. Seyzinski, O. Kaynak

{"title":"Trajectory control of unmanned aerial vehicle using neural nets with a stable learning algorithm","authors":"A. Topalov, N. Shakev, Severina Nikolova, D. Seyzinski, O. Kaynak","doi":"10.1109/MED.2009.5164656","DOIUrl":"https://doi.org/10.1109/MED.2009.5164656","url":null,"abstract":"A neuro-adaptive trajectory control approach for unmanned aerial vehicles is proposed. The aerial robot's altitude and latitude-longitude is controlled by three neuro-adaptive controllers that are used to track the desired altitude, airspeed and roll angle of the vehicle. Each intelligent control module consists of a conventional and a neural network feedback controller. The former is provided both to guarantee global asymptotic stability in compact space and as an inverse reference model of the response of the controlled system. Its output is used as an error signal by a stable on-line learning algorithm to update the parameters of the neurocontroller. In this way the latter is able to eliminate gradually the conventional controller from the control of the system. The proposed learning algorithm makes direct use of the variable structure systems theory and establishes a sliding motion in term of the neurocontroller parameters, leading the learning error toward zero. The performance of the proposed trajectory control scheme is evaluated with time based diagrams under MATLAB's standard configuration and the Aeronautical Simulation Block Set.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131394845","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

Integration of the Stability Overlay (SO) with the Robust Multiple-Model Adaptive Control (RMMAC) 稳定性覆盖与鲁棒多模型自适应控制的集成

2009 17th Mediterranean Conference on Control and Automation Pub Date : 2009-06-24 DOI: 10.1109/MED.2009.5164543

P. Rosa, J. Shamma, C. Silvestre, M. Athans

引用次数: 2

Discrete-time decentralized neural backstepping controller for a five DOF robot manipulator 五自由度机器人的离散时间分散神经反步控制器

2009 17th Mediterranean Conference on Control and Automation Pub Date : 2009-06-24 DOI: 10.1109/MED.2009.5164600

R. García-Hernández, E. Sánchez, M. Saad, E. Bayro-Corrochano

引用次数: 0

An application of the RMMAC methodology to an unstable plant RMMAC方法在不稳定装置中的应用

2009 17th Mediterranean Conference on Control and Automation Pub Date : 2009-06-24 DOI: 10.1109/MED.2009.5164511

V. Hassani, M. Athans, A. Pascoal

引用次数: 4

Multiple faults diagnosability of Hybrid Systems 混合动力系统的多故障可诊断性

2009 17th Mediterranean Conference on Control and Automation Pub Date : 2009-06-24 DOI: 10.1109/MED.2009.5164568

G. Fourlas

引用次数: 6

Robust control of dissipative PDE systems in the presence of uncertainty using adaptive model reduction 基于自适应模型约简的不确定性耗散PDE系统鲁棒控制

2009 17th Mediterranean Conference on Control and Automation Pub Date : 2009-06-24 DOI: 10.1109/MED.2009.5164591

Sivakumar Pitchaiah, A. Armaou

{"title":"Robust control of dissipative PDE systems in the presence of uncertainty using adaptive model reduction","authors":"Sivakumar Pitchaiah, A. Armaou","doi":"10.1109/MED.2009.5164591","DOIUrl":"https://doi.org/10.1109/MED.2009.5164591","url":null,"abstract":"The problem of robust feedback control of spatially distributed processes described by highly dissipative partial differential equations (PDEs) is considered. Typically, this problem is addressed through model reduction where finite dimensional approximations to the original PDE system are derived. A common approach to this task is the Karhunen-Loève expansion combined with the method of snapshots. To circumvent the issue of a priori availability of a sufficiently large ensemble of PDE solution data, we focus on the recursive computation of eigenfunctions as additional data from the process become available. Initially, an ensemble of eigenfunctions is constructed with a relatively small number of snapshots. The dominant eigenspace of this ensemble is then identified to compute the empirical eigenfunctions required for model reduction. This dominant eigenspace is reevaluated with the addition of new snapshots the dominant eigenspace is reevaluated and its dimensionality may increase or decrease. Because this dimensionality is typically small the computational burden is also small. This approach is applied to a representative example of dissipative PDEs, to demonstrate the effectiveness of the approach to design robust controllers.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121693971","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

A DCS supervisory control of a centrifugal compessor for oxygen consumption optimization 离心压缩机耗氧量优化的DCS监控

2009 17th Mediterranean Conference on Control and Automation Pub Date : 2009-06-24 DOI: 10.1109/MED.2009.5164709

S. Zanoli, L. Barboni

引用次数: 1

Application of optimal impulsive control method to advertising 最优脉冲控制方法在广告中的应用

2009 17th Mediterranean Conference on Control and Automation Pub Date : 2009-06-24 DOI: 10.1109/MED.2009.5164742

J. Ding, S. Balakrishnan, M. Mantrala

引用次数: 0

Modeling and analysis of an integrated power system based on methanol autothermal reforming 甲醇自热重整综合动力系统建模与分析

2009 17th Mediterranean Conference on Control and Automation Pub Date : 2009-06-24 DOI: 10.1109/MED.2009.5164746

D. Ipsakis, S. Voutetakis, P. Seferlis, S. Papadopoulou, M. Stoukides

{"title":"Modeling and analysis of an integrated power system based on methanol autothermal reforming","authors":"D. Ipsakis, S. Voutetakis, P. Seferlis, S. Papadopoulou, M. Stoukides","doi":"10.1109/MED.2009.5164746","DOIUrl":"https://doi.org/10.1109/MED.2009.5164746","url":null,"abstract":"The integrated power system under consideration, consists of the fuel processor (reformer and preferential oxidation reactors), the fuel cell and the heat management system. In the reformer reactor, methanol, air and water are co-fed to produce hydrogen under autothermal conditions. The produced hydrogen due to the high content of CO (≫5000ppm), is treated in the preferential oxidation reactor (PROX) for the CO minimization at acceptable levels (≪50ppm). After the oxidation clean-up step, the anode of the polymer electrolyte membrane (PEM) fuel cell is fed with the reformate gas (∼60–65% H2, ∼15–25% CO2, ∼15–20% N2, ∼1–3%CH3OH and traces of CO). The present paper is focused on the mathematical analysis of the main subsystems of the integrated power unit. The two reactors are modeled via a system of partial differential equations (PDE's) and the species flowrates and reactor temperature are analyzed along the length of each reactor. Moreover, the PEM fuel cell voltage-current characteristic is modeled via a non-linear equation that depends on the mass & energy balances (ordinary differential equations) of the concerned species. Finally, the heat management system is analyzed in order to provide insights for future control studies that will depend on the developed mathematical model (model-based control).","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126513164","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