Pub Date : 2009-06-24DOI: 10.1109/MED.2009.5164562
A. Pantelous, A. D. Karageorgos, G. Kalogeropoulos
This paper is concerned with the solution of linear higher order rectangular differential matrix systems which are appeared in many applications of optimal and filtering control theory. The classical power series method is employed to obtain the analytic solution of linear higher order rectangular (singular) differential matrix equations. In the present paper, the authors provide some preliminary results for solving linear singular matrix systems with the power series approach.
{"title":"Power series solutions for linear higher order rectangular differential matrix control systems","authors":"A. Pantelous, A. D. Karageorgos, G. Kalogeropoulos","doi":"10.1109/MED.2009.5164562","DOIUrl":"https://doi.org/10.1109/MED.2009.5164562","url":null,"abstract":"This paper is concerned with the solution of linear higher order rectangular differential matrix systems which are appeared in many applications of optimal and filtering control theory. The classical power series method is employed to obtain the analytic solution of linear higher order rectangular (singular) differential matrix equations. In the present paper, the authors provide some preliminary results for solving linear singular matrix systems with the power series approach.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"62 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":"116804165","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.2009.5164695
E. Minca, Florin Dragomir, O. Dragomir, I. Istudor
A new tool for non-autonomous hierarchical systems modelling is proposed in this article. This tool is used for the modelling of monitoring functions and integrates the fuzzy logic in the temporal aspect of the events occurrence. The tool is also suited for the development of the hierarchical and distributed typologies structures and in modelling of recurrent functions. The proposed systems are structured on hierarchical levels. On each level there are events with equal probabilities of occurrence/detection. The proposed typologies ensure a recurrent behaviour to the horizontal firing of the networks, which allows the detection of the occurrence/persistence of the monitored external events. In this context, the Recurrent Synchronized Fuzzy Petri Nets (PNetSinFREC) are well adapted to detection/decision modelling of the functions by a temporal fuzzy transition approach in hierarchical systems.
{"title":"Advanced methods for modeling of monitoring functions in hierarchical systems","authors":"E. Minca, Florin Dragomir, O. Dragomir, I. Istudor","doi":"10.1109/MED.2009.5164695","DOIUrl":"https://doi.org/10.1109/MED.2009.5164695","url":null,"abstract":"A new tool for non-autonomous hierarchical systems modelling is proposed in this article. This tool is used for the modelling of monitoring functions and integrates the fuzzy logic in the temporal aspect of the events occurrence. The tool is also suited for the development of the hierarchical and distributed typologies structures and in modelling of recurrent functions. The proposed systems are structured on hierarchical levels. On each level there are events with equal probabilities of occurrence/detection. The proposed typologies ensure a recurrent behaviour to the horizontal firing of the networks, which allows the detection of the occurrence/persistence of the monitored external events. In this context, the Recurrent Synchronized Fuzzy Petri Nets (PNetSinFREC) are well adapted to detection/decision modelling of the functions by a temporal fuzzy transition approach in hierarchical systems.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"37 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":"131562430","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.2009.5164589
P. Bauer, B. Kulcsár, J. Bokor
The paper characterizes the properties of discrete time minimax tracking control problem in the case of time varying references and disturbances.
研究了具有时变参考点和扰动的离散时间极大极小跟踪控制问题的性质。
{"title":"Discrete time minimax tracking control with state and disturbance estimation II: Time-varying reference and disturbance signals","authors":"P. Bauer, B. Kulcsár, J. Bokor","doi":"10.1109/MED.2009.5164589","DOIUrl":"https://doi.org/10.1109/MED.2009.5164589","url":null,"abstract":"The paper characterizes the properties of discrete time minimax tracking control problem in the case of time varying references and disturbances.","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":"132855773","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.2009.5164725
Xudong Wang, V. Syrmos
This paper describes a coverage-based path planning algorithm for multiple robotic agents with the application on the automated inspection of an unknown 2D environment. The proposed path planning algorithm determines a motion path that a robotic agent will follow to sweep and survey all areas of the unknown environment, which is enclosed by the known boundary. The 2D unknown environment is decomposed into a union of simplices using the principle of Delaunay triangulation. The area coverage is equivalent to design a path for a robotic agent to follow and visit all simplices subject to certain mission constraints. A hierarchical mission planner is designed to allocate mission tasks among multiple agents in each level and pass information down to the next level along the hierarchy. The proposed path planning algorithm has been tested and evaluated on the problem of planning path for two types of robotic agents - flying agents and crawling agents in a two-tier hierarchical mission planner to cover various unknown 2D environments.
{"title":"Coverage path planning for multiple robotic agent-based inspection of an unknown 2D environment","authors":"Xudong Wang, V. Syrmos","doi":"10.1109/MED.2009.5164725","DOIUrl":"https://doi.org/10.1109/MED.2009.5164725","url":null,"abstract":"This paper describes a coverage-based path planning algorithm for multiple robotic agents with the application on the automated inspection of an unknown 2D environment. The proposed path planning algorithm determines a motion path that a robotic agent will follow to sweep and survey all areas of the unknown environment, which is enclosed by the known boundary. The 2D unknown environment is decomposed into a union of simplices using the principle of Delaunay triangulation. The area coverage is equivalent to design a path for a robotic agent to follow and visit all simplices subject to certain mission constraints. A hierarchical mission planner is designed to allocate mission tasks among multiple agents in each level and pass information down to the next level along the hierarchy. The proposed path planning algorithm has been tested and evaluated on the problem of planning path for two types of robotic agents - flying agents and crawling agents in a two-tier hierarchical mission planner to cover various unknown 2D environments.","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":"128451778","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.2009.5164752
S. Moustakidis, J. Theocharis, G. Giakas
A novel wavelet-based feature extraction approach is introduced in this paper for subject recognition utilizing ground reaction force (GRF) measurements. A wavelet-packet (WP) decomposition scheme is firstly proposed to recognize the discriminating frequency subbands and subsequently an efficient feature selection (FS) method is applied on the selected WP bands providing a compact set of powerful and complementary features. Our approach relies on a non-global fuzzy set-based criterion to assess the significance of every subband or feature. This local evaluation measure with respect to patterns is implemented by a fuzzy partition vector (FPV) constructed by invoking a fuzzy class allocation scheme that assigns membership grades to every class. The FS is driven by a fuzzy complementary criterion (FuzCoC) that acts upon the feature FPVs, handling simultaneously both the discrimination power and the redundancy between the features. To demonstrate the performance capabilities of our approach an extensive experimental setup is designed with tasks of increasing difficulty.
{"title":"Feature extraction based on a fuzzy complementary criterion for gait recognition using GRF signals","authors":"S. Moustakidis, J. Theocharis, G. Giakas","doi":"10.1109/MED.2009.5164752","DOIUrl":"https://doi.org/10.1109/MED.2009.5164752","url":null,"abstract":"A novel wavelet-based feature extraction approach is introduced in this paper for subject recognition utilizing ground reaction force (GRF) measurements. A wavelet-packet (WP) decomposition scheme is firstly proposed to recognize the discriminating frequency subbands and subsequently an efficient feature selection (FS) method is applied on the selected WP bands providing a compact set of powerful and complementary features. Our approach relies on a non-global fuzzy set-based criterion to assess the significance of every subband or feature. This local evaluation measure with respect to patterns is implemented by a fuzzy partition vector (FPV) constructed by invoking a fuzzy class allocation scheme that assigns membership grades to every class. The FS is driven by a fuzzy complementary criterion (FuzCoC) that acts upon the feature FPVs, handling simultaneously both the discrimination power and the redundancy between the features. To demonstrate the performance capabilities of our approach an extensive experimental setup is designed with tasks of increasing difficulty.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"17 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":"134166366","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.2009.5164659
A. Budiyono, K. Yoon, F. Daniel
Developing an autonomous rotorcraft-based unmanned aerial vehicle presents higher level and difficult challenges than most of the robots in general. A miniature rotorcraft, with four control inputs and six degrees of freedom, has an inherently multivariable behavior that exhibits coupling effects among the different axes of motion. The dynamics of this type of aerial vehicle is characterized by instability, high-order and sensitivity to disturbance. For rotorcraft to function as a stable mobile platform in changing flight conditions, therefore, its dynamics must be understood and modeled as the basis for controlling such a vehicle. The paper presents a development of linear model of a small scale helicopter using multi input multi output time domain identification system. The results from first principle approach are used as initial condition in the Prediction Error Minimization scheme to achieve convergence. It is demonstrated that the proposed technique can enhance the accuracy of dynamics model obtained from the first principle prediction. Using the technique, the establishment of global helicopter linear model can be achieved for a practical design of linear control laws.
{"title":"Integrated identification modeling of rotorcraft-based unmanned aerial vehicle","authors":"A. Budiyono, K. Yoon, F. Daniel","doi":"10.1109/MED.2009.5164659","DOIUrl":"https://doi.org/10.1109/MED.2009.5164659","url":null,"abstract":"Developing an autonomous rotorcraft-based unmanned aerial vehicle presents higher level and difficult challenges than most of the robots in general. A miniature rotorcraft, with four control inputs and six degrees of freedom, has an inherently multivariable behavior that exhibits coupling effects among the different axes of motion. The dynamics of this type of aerial vehicle is characterized by instability, high-order and sensitivity to disturbance. For rotorcraft to function as a stable mobile platform in changing flight conditions, therefore, its dynamics must be understood and modeled as the basis for controlling such a vehicle. The paper presents a development of linear model of a small scale helicopter using multi input multi output time domain identification system. The results from first principle approach are used as initial condition in the Prediction Error Minimization scheme to achieve convergence. It is demonstrated that the proposed technique can enhance the accuracy of dynamics model obtained from the first principle prediction. Using the technique, the establishment of global helicopter linear model can be achieved for a practical design of linear control laws.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"2012 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":"133496464","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.2009.5164697
A. Torkaman, N. M. Charkari, M. Aghaeipour, Esmerdis Hajati
Cancer is a term used for diseases in which abnormal cells divide without control and invade other tissues. Cancer types can be grouped into broader categories including Leukemia, Carcinoma, Sarcoma, Lymphoma and Myeloma, Central nervous system cancers among them, Leukemia is a form of serious cancers that starts in blood tissue such as the bone marrow where all the blood is made. It is one of the leading causes of death in the world. So, the importance of diagnostic techniques is manifested. Application of these techniques would be able to decrease the mortality rate from leukemia. In this paper, an automatic system for classifying leukemia based on game theory is presented. The aim of this research is to apply game theory in order to classify leukemia into eight classes. In other words, cooperative game is used for classification according to different weights assigned to the markers. Through out this paper, we work on real data (304 samples) taken from different types of leukemia that have been collected at Iran Blood Transfusion Organization (IBTO). The modeling system can be used to model and classify a population according to their contributions. In the other words, it applies equally to other groups of data. The results show that the highest classification accuracy (98.44%) is obtained for the proposed model. So, it is hoped that game theory can be directly used for classification in the other cases.
{"title":"A recommender system for detection of leukemia based on cooperative game","authors":"A. Torkaman, N. M. Charkari, M. Aghaeipour, Esmerdis Hajati","doi":"10.1109/MED.2009.5164697","DOIUrl":"https://doi.org/10.1109/MED.2009.5164697","url":null,"abstract":"Cancer is a term used for diseases in which abnormal cells divide without control and invade other tissues. Cancer types can be grouped into broader categories including Leukemia, Carcinoma, Sarcoma, Lymphoma and Myeloma, Central nervous system cancers among them, Leukemia is a form of serious cancers that starts in blood tissue such as the bone marrow where all the blood is made. It is one of the leading causes of death in the world. So, the importance of diagnostic techniques is manifested. Application of these techniques would be able to decrease the mortality rate from leukemia. In this paper, an automatic system for classifying leukemia based on game theory is presented. The aim of this research is to apply game theory in order to classify leukemia into eight classes. In other words, cooperative game is used for classification according to different weights assigned to the markers. Through out this paper, we work on real data (304 samples) taken from different types of leukemia that have been collected at Iran Blood Transfusion Organization (IBTO). The modeling system can be used to model and classify a population according to their contributions. In the other words, it applies equally to other groups of data. The results show that the highest classification accuracy (98.44%) is obtained for the proposed model. So, it is hoped that game theory can be directly used for classification in the other cases.","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":"128689518","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.2009.5164652
Yoshio Tange, C. Nakazawa, T. Matsui
In this paper, a new method for disturbance rejection suitable for dynamic matrix control (DMC) is proposed. DMC has been widely used in many practical engineering fields as a very useful control method. Despite its usefulness and achievements, it has been pointed out that DMC gives poor performance with respect to disturbance rejection for some kinds of disturbances such as ramp-like disturbances. To overcome this weakness, we developed an easy-to-implement disturbance observer, which only requires step response models of plants. Illustrative examples are provided to show its effectiveness for the case where a ramp-like disturbance is acting on a plant.
{"title":"A multi-variable disturbance observer for model predictive control","authors":"Yoshio Tange, C. Nakazawa, T. Matsui","doi":"10.1109/MED.2009.5164652","DOIUrl":"https://doi.org/10.1109/MED.2009.5164652","url":null,"abstract":"In this paper, a new method for disturbance rejection suitable for dynamic matrix control (DMC) is proposed. DMC has been widely used in many practical engineering fields as a very useful control method. Despite its usefulness and achievements, it has been pointed out that DMC gives poor performance with respect to disturbance rejection for some kinds of disturbances such as ramp-like disturbances. To overcome this weakness, we developed an easy-to-implement disturbance observer, which only requires step response models of plants. Illustrative examples are provided to show its effectiveness for the case where a ramp-like disturbance is acting on a plant.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"7 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":"128714620","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.2009.5164723
Glenn A. Parker, C. Johnson
Modern wind turbines are experiencing rapid growth in both physical size and rated capacity. As wind turbines grow larger with necessarily lighter construction materials, dampening flexible modes with active control becomes more critical. In this paper we apply the theory of “disturbance utilization control” (DUC) to a 600 kW upwind machine to dampen drive-train torsion and blade flap while regulating generator speed. We show that positive “utility” exists in turbulent wind inflow, and we demonstrate that the optimal DUC controller achieves decreased pitch actuator demand and improved drive-train and blade fatigue life through dampening of torsion oscillation and blade flap.
{"title":"Improved drive-train and blade fatigue mitigation in flexible wind turbines using disturbance utilization control","authors":"Glenn A. Parker, C. Johnson","doi":"10.1109/MED.2009.5164723","DOIUrl":"https://doi.org/10.1109/MED.2009.5164723","url":null,"abstract":"Modern wind turbines are experiencing rapid growth in both physical size and rated capacity. As wind turbines grow larger with necessarily lighter construction materials, dampening flexible modes with active control becomes more critical. In this paper we apply the theory of “disturbance utilization control” (DUC) to a 600 kW upwind machine to dampen drive-train torsion and blade flap while regulating generator speed. We show that positive “utility” exists in turbulent wind inflow, and we demonstrate that the optimal DUC controller achieves decreased pitch actuator demand and improved drive-train and blade fatigue life through dampening of torsion oscillation and blade flap.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"119 2 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":"116701850","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.2009.5164522
Minyi Zhong, C. Cassandras
A sensor network consists of a collection of (possibly mobile) sensing devices that can coordinate their actions through wireless communication and aim at performing various tasks (e.g., surveillance, environmental monitoring) over a region sometimes referred to as the “mission space”. The performance of a sensor network is sensitive to the location of its nodes in the mission space. This leads to the basic “coverage control” problem of properly, and possibly optimally, deploying sensors in order to meet the overall system's objectives [1],[2],[3],[4],[5]. Clearly, to achieve such a goal, the nodes must share, at least partially, their state information. However, this may require a large amount of information exchange. Moreover, sensor nodes are frequently small, inexpensive devices with limited resources. Aside from energy required to move (if nodes are mobile), communication is known to be by far the largest consumer of the limited energy of a node [6], compared to other functions such as sensing and computation. Therefore, it is crucial to reduce communication between nodes to the minimum possible. This in turn imposes a constraint on the optimization task performed by each node, since it requires that actions be taken without full knowledge of other nodes' states. Standard synchronization schemes require that nodes periodically exchange state information which is clearly inefficient and, in fact, unnecessary since often the state of a node may not have changed much or may have only changed in a predictable way. This motivates us to seek not only distributed but also asynchronous optimization mechanisms in which a node communicates with others only when it considers it indispensable; in other words, each node tries to minimize the cost of communication by transmitting state information only under certain conditions and only as a last resort. This poses questions such as “what should the conditions be for a node to take such communication actions?” and “under what conditions, if any, can we guarantee that the resulting optimization scheme possesses desirable properties such as convergence to an optimum?”
{"title":"Asynchronous distributed algorithms for optimal coverage control with sensor networks","authors":"Minyi Zhong, C. Cassandras","doi":"10.1109/MED.2009.5164522","DOIUrl":"https://doi.org/10.1109/MED.2009.5164522","url":null,"abstract":"A sensor network consists of a collection of (possibly mobile) sensing devices that can coordinate their actions through wireless communication and aim at performing various tasks (e.g., surveillance, environmental monitoring) over a region sometimes referred to as the “mission space”. The performance of a sensor network is sensitive to the location of its nodes in the mission space. This leads to the basic “coverage control” problem of properly, and possibly optimally, deploying sensors in order to meet the overall system's objectives [1],[2],[3],[4],[5]. Clearly, to achieve such a goal, the nodes must share, at least partially, their state information. However, this may require a large amount of information exchange. Moreover, sensor nodes are frequently small, inexpensive devices with limited resources. Aside from energy required to move (if nodes are mobile), communication is known to be by far the largest consumer of the limited energy of a node [6], compared to other functions such as sensing and computation. Therefore, it is crucial to reduce communication between nodes to the minimum possible. This in turn imposes a constraint on the optimization task performed by each node, since it requires that actions be taken without full knowledge of other nodes' states. Standard synchronization schemes require that nodes periodically exchange state information which is clearly inefficient and, in fact, unnecessary since often the state of a node may not have changed much or may have only changed in a predictable way. This motivates us to seek not only distributed but also asynchronous optimization mechanisms in which a node communicates with others only when it considers it indispensable; in other words, each node tries to minimize the cost of communication by transmitting state information only under certain conditions and only as a last resort. This poses questions such as “what should the conditions be for a node to take such communication actions?” and “under what conditions, if any, can we guarantee that the resulting optimization scheme possesses desirable properties such as convergence to an optimum?”","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"12 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":"116934102","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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