Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164572
N. Mitrakis, J. Theocharis
In authors' previous works, a novel self-organizing neuro-fuzzy multilayered classifier (SONeFMUC) was proposed. SONeFMUC is composed of small-scale interconnected fuzzy neuron classifiers (FNCs) arranged in layers. The structure of the classifier is revealed by means of the well known GMDH algorithm. In addition, the GMDH algorithm inherently implements feature selection, considering the most informative attributes as model inputs. However, previous simulation results indicate that the GMDH algorithm calculates a large number of FNCs with slightly higher or even the same classification capabilities than its parents. Hence, the computational cost of the GMDH is large without a direct impact to the classification accuracy. In this paper, a modified version of GMDH is proposed for an effective identification of the structure of SONeFMUC with reduced computational cost. To this end, a statistical measure of agreement of the generic FNCs in classifying the patterns of the problem is used. This measure is known as Proportion of Specific Agreement (Ps). Hence, only complementary FNCs are combined to construct a descendant FNC at the next layer and the total number of constructed FNCs is reduced. The proposed structure learning algorithm is tested on a well known classification problem of the literature, the forensic glass. Simulation results indicate the efficiency of the proposed algorithm.
{"title":"An efficient structure learning algorithm for a self-organizing neuro-fuzzy multilayered classifier","authors":"N. Mitrakis, J. Theocharis","doi":"10.1109/MED.2009.5164572","DOIUrl":"https://doi.org/10.1109/MED.2009.5164572","url":null,"abstract":"In authors' previous works, a novel self-organizing neuro-fuzzy multilayered classifier (SONeFMUC) was proposed. SONeFMUC is composed of small-scale interconnected fuzzy neuron classifiers (FNCs) arranged in layers. The structure of the classifier is revealed by means of the well known GMDH algorithm. In addition, the GMDH algorithm inherently implements feature selection, considering the most informative attributes as model inputs. However, previous simulation results indicate that the GMDH algorithm calculates a large number of FNCs with slightly higher or even the same classification capabilities than its parents. Hence, the computational cost of the GMDH is large without a direct impact to the classification accuracy. In this paper, a modified version of GMDH is proposed for an effective identification of the structure of SONeFMUC with reduced computational cost. To this end, a statistical measure of agreement of the generic FNCs in classifying the patterns of the problem is used. This measure is known as Proportion of Specific Agreement (Ps). Hence, only complementary FNCs are combined to construct a descendant FNC at the next layer and the total number of constructed FNCs is reduced. The proposed structure learning algorithm is tested on a well known classification problem of the literature, the forensic glass. Simulation results indicate the efficiency of the proposed algorithm.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"29 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":"124973342","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}
Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164696
R. Su, J. van Schuppen, J. Rooda
Recently supervisor synthesis for nondeterministic systems has gained more and more attention, owing to the potential computational advantage of using nondeterministic automata in modular/distributed synthesis. It is well known that, in the Ramadge/Wonham language-based supervisory control paradigm, the supremal nonblocking normal supervisor always exists (although may be empty) and is computable. In this paper we will show that, for a nondeterministic plant model and a deterministic specification, a similar entity called the supremal nonblocking state-normal supervisor also exists, which coincides with the supremal nonblocking normal supervisor when the plant model becomes deterministic. We then present a concrete algorithm to compute such a supervisor and analyze the relevant computational complexity.
{"title":"An algorithm for computing supremal nonblocking state-normal supervisors for nondeterministic systems","authors":"R. Su, J. van Schuppen, J. Rooda","doi":"10.1109/MED.2009.5164696","DOIUrl":"https://doi.org/10.1109/MED.2009.5164696","url":null,"abstract":"Recently supervisor synthesis for nondeterministic systems has gained more and more attention, owing to the potential computational advantage of using nondeterministic automata in modular/distributed synthesis. It is well known that, in the Ramadge/Wonham language-based supervisory control paradigm, the supremal nonblocking normal supervisor always exists (although may be empty) and is computable. In this paper we will show that, for a nondeterministic plant model and a deterministic specification, a similar entity called the supremal nonblocking state-normal supervisor also exists, which coincides with the supremal nonblocking normal supervisor when the plant model becomes deterministic. We then present a concrete algorithm to compute such a supervisor and analyze the relevant computational complexity.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"6 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":"124691848","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}
Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164620
F. T. Attarwala
This paper presents a method of combining model predictive control (MPC) with explicitly defined stability criteria for improved robust performance. The stability criteria is fundamental in its basis and can be applied universally to a process of any size. The stability criteria is independent variables based and can be used with linear or non-linear process; when used with linear process it imparts a quasi-linear optimal closed loop behavior. The stability criteria determines speed of optimization. A braking action can be included in conjunction with the stability criteria to permit a complete cycle control involving startup, normal operation and shutdown. The stability criteria supports both hierarchical and distributed MPC implementation consistently; that allows for the formation of a hierarchical and distributed MPC system within a process while permitting it to be connected to neighboring processes as part of a unified control system for an entire production chain involving a network of modular robust MPCs. Intrinsically, the stability criteria makes a MPC both robust and modular.
{"title":"Modular robust model predictive control","authors":"F. T. Attarwala","doi":"10.1109/MED.2009.5164620","DOIUrl":"https://doi.org/10.1109/MED.2009.5164620","url":null,"abstract":"This paper presents a method of combining model predictive control (MPC) with explicitly defined stability criteria for improved robust performance. The stability criteria is fundamental in its basis and can be applied universally to a process of any size. The stability criteria is independent variables based and can be used with linear or non-linear process; when used with linear process it imparts a quasi-linear optimal closed loop behavior. The stability criteria determines speed of optimization. A braking action can be included in conjunction with the stability criteria to permit a complete cycle control involving startup, normal operation and shutdown. The stability criteria supports both hierarchical and distributed MPC implementation consistently; that allows for the formation of a hierarchical and distributed MPC system within a process while permitting it to be connected to neighboring processes as part of a unified control system for an entire production chain involving a network of modular robust MPCs. Intrinsically, the stability criteria makes a MPC both robust and modular.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"25 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":"131615373","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}
Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164526
K. Somasundaram, J. Baras
The seminal work of Maynard Prince and Price in 1973 laid the foundations in establishing the concept of evolutionary game stable strategies. It attempts to select strategies which are robust to evolutionary selection pressures. We observe that most of the literature as evolved is concentrated on single objective games. In this work we extend the notion of evolutionary stability to games with vector payoff functions. We illustrate that this notion of Multicriteria evolutionary stability, models a much larger class of interactions in social, economic and biological problems. Particular applications of interest are in autonomic wireless sensor networks and autonomic networked control systems. We present a multi-population replicator dynamics, which models the evolution of agent actions in a network with varying levels of selfishness. We observe that this model clearly demarks the regions of cooperation among these selfish agents. We provide analytical results on the dynamic stability of the replication. This clearly characterizes the aforementioned demarcations.
{"title":"Evolutionary dynamics of collaborative environments with heterogeneous agents","authors":"K. Somasundaram, J. Baras","doi":"10.1109/MED.2009.5164526","DOIUrl":"https://doi.org/10.1109/MED.2009.5164526","url":null,"abstract":"The seminal work of Maynard Prince and Price in 1973 laid the foundations in establishing the concept of evolutionary game stable strategies. It attempts to select strategies which are robust to evolutionary selection pressures. We observe that most of the literature as evolved is concentrated on single objective games. In this work we extend the notion of evolutionary stability to games with vector payoff functions. We illustrate that this notion of Multicriteria evolutionary stability, models a much larger class of interactions in social, economic and biological problems. Particular applications of interest are in autonomic wireless sensor networks and autonomic networked control systems. We present a multi-population replicator dynamics, which models the evolution of agent actions in a network with varying levels of selfishness. We observe that this model clearly demarks the regions of cooperation among these selfish agents. We provide analytical results on the dynamic stability of the replication. This clearly characterizes the aforementioned demarcations.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"4 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":"130923853","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}
Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164747
R. Rocha
This paper presents a sensorless control for a stall regulated variable speed wind turbine, where the speed reference is obtained from the estimated aerodynamic torque. The LQG/LTR methodology is applied to the design of an optimal discrete-time feedback controller for a Wind Energy Conversion System, aiming to maximize the efficiency on energy conversion and to minimize the detrimental dynamic loads due to wind fluctuation and ripple torque. The trade-off between the efficiency maximization of the energy conversion and the dynamic load effects minimization is considered in the quadratic cost function of the LQG/LTR design. The resulting control structure is simulated considering a step variation on wind speed. The performance of the proposed control scheme is discussed showing that it really leads the WECS operation near to the maximum efficiency point and reduces the detrimental dynamic loads. It is also presented some alternatives for sensorless control for the electrical generator.
{"title":"A sensorless control for wind turbine","authors":"R. Rocha","doi":"10.1109/MED.2009.5164747","DOIUrl":"https://doi.org/10.1109/MED.2009.5164747","url":null,"abstract":"This paper presents a sensorless control for a stall regulated variable speed wind turbine, where the speed reference is obtained from the estimated aerodynamic torque. The LQG/LTR methodology is applied to the design of an optimal discrete-time feedback controller for a Wind Energy Conversion System, aiming to maximize the efficiency on energy conversion and to minimize the detrimental dynamic loads due to wind fluctuation and ripple torque. The trade-off between the efficiency maximization of the energy conversion and the dynamic load effects minimization is considered in the quadratic cost function of the LQG/LTR design. The resulting control structure is simulated considering a step variation on wind speed. The performance of the proposed control scheme is discussed showing that it really leads the WECS operation near to the maximum efficiency point and reduces the detrimental dynamic loads. It is also presented some alternatives for sensorless control for the electrical generator.","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":"131078466","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}
Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164724
A. Akramizadeh, A. Afshar, M. Menhaj
Multiagent systems are one of the most promising solutions in most of real life applications in which some kinds of social interactions or conventions are involved. Agent oriented applications are broadly explored among which learning in unknown environment is well developed based on Markov Decision Process (MDP). On the other hand, learning in multiagent systems has been recently introduced, basically in conjunction with game theory which is the science of investigating multiple interactive agents. During learning, self-interested agents are attempting to find the equilibrium policy based on the structure of the game, mostly considered as normal form games. In this paper, we focus on bringing into discussion game structures, addressed as normal form games and extensive form games, in learning process. This includes also some modifications and refinements in initially introduced concepts as well as a proposed approach in extensive form games.
{"title":"Different forms of the games in multiagent reinforcement learning: alternating vs. simultanous movements","authors":"A. Akramizadeh, A. Afshar, M. Menhaj","doi":"10.1109/MED.2009.5164724","DOIUrl":"https://doi.org/10.1109/MED.2009.5164724","url":null,"abstract":"Multiagent systems are one of the most promising solutions in most of real life applications in which some kinds of social interactions or conventions are involved. Agent oriented applications are broadly explored among which learning in unknown environment is well developed based on Markov Decision Process (MDP). On the other hand, learning in multiagent systems has been recently introduced, basically in conjunction with game theory which is the science of investigating multiple interactive agents. During learning, self-interested agents are attempting to find the equilibrium policy based on the structure of the game, mostly considered as normal form games. In this paper, we focus on bringing into discussion game structures, addressed as normal form games and extensive form games, in learning process. This includes also some modifications and refinements in initially introduced concepts as well as a proposed approach in extensive form games.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"18 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":"132287824","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}
Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164675
L. Ciabattoni, M. Grisostomi, G. Ippoliti, S. Longhi
In this paper it is shown that the problem of applying active control to a simple elastic plate structure can be introduced in a form which allows the application of optimal control theory. In particular, a modal model for the vibration of an elastic structure and the state space realization of this model are given. In the first part of the paper a modal analysis of the structure is introduced and the natural frequencies are computed both in analytic form and by a set of experimental tests. In the second part an harmonic analysis is performed and the output of the model is developed and compared with experimental results. This shows that the introduced model is a good description of the real process and an optimal active control of the elastic plate structure is feasible.
{"title":"Modal and harmonic experimental validation of the vibration model of an elastic structure","authors":"L. Ciabattoni, M. Grisostomi, G. Ippoliti, S. Longhi","doi":"10.1109/MED.2009.5164675","DOIUrl":"https://doi.org/10.1109/MED.2009.5164675","url":null,"abstract":"In this paper it is shown that the problem of applying active control to a simple elastic plate structure can be introduced in a form which allows the application of optimal control theory. In particular, a modal model for the vibration of an elastic structure and the state space realization of this model are given. In the first part of the paper a modal analysis of the structure is introduced and the natural frequencies are computed both in analytic form and by a set of experimental tests. In the second part an harmonic analysis is performed and the output of the model is developed and compared with experimental results. This shows that the introduced model is a good description of the real process and an optimal active control of the elastic plate structure is feasible.","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":"129593713","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}
Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164569
M. Babazadeh, Walter Lang
This paper studies a combinational algorithm of a limit-trend checking, plausibility test and model-based method to attain a secure fault diagnosis in a wireless sensor network. It has been implemented based on a new theoretical identification method. The sensor nodes of the network have been distributed inside an intelligent container to monitor environmental parameters (temperature and relative humidity). It employs measured parameters, residuals and a developed model of the environment to introduce a topology, applicable in several applications of fault diagnosis area.
{"title":"Combinational fault diagnosis in a monitored environment by a wireless sensor network","authors":"M. Babazadeh, Walter Lang","doi":"10.1109/MED.2009.5164569","DOIUrl":"https://doi.org/10.1109/MED.2009.5164569","url":null,"abstract":"This paper studies a combinational algorithm of a limit-trend checking, plausibility test and model-based method to attain a secure fault diagnosis in a wireless sensor network. It has been implemented based on a new theoretical identification method. The sensor nodes of the network have been distributed inside an intelligent container to monitor environmental parameters (temperature and relative humidity). It employs measured parameters, residuals and a developed model of the environment to introduce a topology, applicable in several applications of fault diagnosis area.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"18 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":"132192040","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}
Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164615
T. Minh, T. Tjahjowidodo, H. Ramon, H. Van Brussel
In a system using PAMs, a big research effort has been carried out to solve the control problem, in which the nonlinear dynamics of a PAM were left behind as a disturbance to that system. The inherent dynamics in a PAM is due to its constitutional materials which cause hysteresis during cyclic contraction/extension. Prior knowledge of the hysteresis behavior in a PAM may simplify the associated control system. In this paper, the hysteretic behavior of a PAM is investigated and the results show much similarity to the presliding regime in the friction of mechanical contacting elements. The PAM hysteresis is thus generalized and represented by a lumped-parameter model, which is useful for control design.
{"title":"Non-local memory hysteresis in a pneumatic artificial muscle (PAM)","authors":"T. Minh, T. Tjahjowidodo, H. Ramon, H. Van Brussel","doi":"10.1109/MED.2009.5164615","DOIUrl":"https://doi.org/10.1109/MED.2009.5164615","url":null,"abstract":"In a system using PAMs, a big research effort has been carried out to solve the control problem, in which the nonlinear dynamics of a PAM were left behind as a disturbance to that system. The inherent dynamics in a PAM is due to its constitutional materials which cause hysteresis during cyclic contraction/extension. Prior knowledge of the hysteresis behavior in a PAM may simplify the associated control system. In this paper, the hysteretic behavior of a PAM is investigated and the results show much similarity to the presliding regime in the friction of mechanical contacting elements. The PAM hysteresis is thus generalized and represented by a lumped-parameter model, which is useful for control design.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"59 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":"132221500","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}
Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164708
Ganga P. Jayaraman
This paper describes the architecture and modeling of an autothrottle servo drive system developed by Woodward MPC Corporation for a typical midsize business jet aircraft. The autothrottle speed control system automatically adjusts the throttle lever position in response to changes in thrust level demands, thus providing speed control and thrust management for the aircraft. The autothrottle servo drive system implements a speed control loop that drives the throttle lever in response to speed commands from the autothrottle speed control system. Simulation results are presented that demonstrate the accuracy and dynamic performance of the speed control system.
{"title":"Modeling and design of an autothrottle speed control system","authors":"Ganga P. Jayaraman","doi":"10.1109/MED.2009.5164708","DOIUrl":"https://doi.org/10.1109/MED.2009.5164708","url":null,"abstract":"This paper describes the architecture and modeling of an autothrottle servo drive system developed by Woodward MPC Corporation for a typical midsize business jet aircraft. The autothrottle speed control system automatically adjusts the throttle lever position in response to changes in thrust level demands, thus providing speed control and thrust management for the aircraft. The autothrottle servo drive system implements a speed control loop that drives the throttle lever in response to speed commands from the autothrottle speed control system. Simulation results are presented that demonstrate the accuracy and dynamic performance of the speed control system.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"152 4 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":"131356491","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}
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