Change search
Link to record
Permanent link

Direct link
BETA
Fakharian, Ahmad
Publications (9 of 9) Show all publications
Fakharian, A., Gustafsson, T. & Khanian, M. Y. (2011). A new approach on H-infinity control of linear singular pertubation systems (ed.). In: (Ed.), (Ed.), 2011 9th IEEE International Conference on Control and Automation (ICCA 2011): Santiago, Chile, 19 - 21 December 2011. Paper presented at IEEE International Conference on Control & Automation : 19/12/2011 - 21/12/2011 (pp. 969-973). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>A new approach on H-infinity control of linear singular pertubation systems
2011 (English)In: 2011 9th IEEE International Conference on Control and Automation (ICCA 2011): Santiago, Chile, 19 - 21 December 2011, Piscataway, NJ: IEEE Communications Society, 2011, p. 969-973Conference paper, Published paper (Refereed)
Abstract [en]

In this paper a new approach for solving the H∞ control problem using static state-feedback for LTI singular perturbation systems is proposed. The proposed controller is given in terms of the solution of a set of matrix inequalities independent of singular parameter . These inequalities are not in the form of linear matrix inequalities (LMI). By introducing a new algorithm, these inequalities are solved through LMI formulation. To show the effectiveness of the proposed algorithm comparing to other methods, an illustrative example is also provided.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2011
Keywords
Information technology - Automatic control, Informationsteknik - Reglerteknik
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-33203 (URN)10.1109/ICCA.2011.6137889 (DOI)84858951933 (Scopus ID)80199b71-865f-493e-82b0-5b0bc2d84615 (Local ID)978-1-4577-1475-7 (ISBN)80199b71-865f-493e-82b0-5b0bc2d84615 (Archive number)80199b71-865f-493e-82b0-5b0bc2d84615 (OAI)
Conference
IEEE International Conference on Control & Automation : 19/12/2011 - 21/12/2011
Note
Godkänd; 2012; 20111003 (tgu)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Khanian, Y. & Fakharian, A. (2011). A new prediction algorithm to improve training the neural networks and its application in mobile robot control system (ed.). In: (Ed.), (Ed.), 2011 9th IEEE International Conference on Control and Automation (ICCA 2011): Santiago, Chile, 19 - 21 December 2011. Paper presented at IEEE International Conference on Control & Automation : 19/12/2011 - 21/12/2011 (pp. 429-433). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>A new prediction algorithm to improve training the neural networks and its application in mobile robot control system
2011 (English)In: 2011 9th IEEE International Conference on Control and Automation (ICCA 2011): Santiago, Chile, 19 - 21 December 2011, Piscataway, NJ: IEEE Communications Society, 2011, p. 429-433Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a new prediction model for stable control of mobile robot based on chaotic neural networks. Programming mobile robots can be long and difficult task. In this study, we intend to demonstrate the chaotic learning algorithm to improve neural networks' learning efficiency and obtain better prediction. In order to validate the prediction performance of recurrent neural networks, a novel stimulation study and analysis paradigm has been done on the practical data. Finally, through computer simulations, we demonstrate the effectiveness and stability of the proposed controller according to changed working conditions

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2011
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-27559 (URN)10.1109/ICCA.2011.6137939 (DOI)2-s2.0-84858952376 (Scopus ID)10e363cd-c606-4cc7-a41a-bcd4f6b501b5 (Local ID)978-1-457-71475-7 (ISBN)10e363cd-c606-4cc7-a41a-bcd4f6b501b5 (Archive number)10e363cd-c606-4cc7-a41a-bcd4f6b501b5 (OAI)
Conference
IEEE International Conference on Control & Automation : 19/12/2011 - 21/12/2011
Note
Godkänd; 2012; 20120404 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Fakharian, A., Gustafsson, T. & Mehrfam, M. (2011). Adaptive Kalman filtering based navigation: an IMU/GPS integration approach (ed.). In: (Ed.), (Ed.), Proceedings of the 8th IEEE International Conference on Networking, Sensing and Control: Delft, The Netherlands, 11-13 April, 2011. Paper presented at IEEE International Conference on Networking, Sensing and Control : 11/04/2011 - 13/04/2011 (pp. 181-185). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>Adaptive Kalman filtering based navigation: an IMU/GPS integration approach
2011 (English)In: Proceedings of the 8th IEEE International Conference on Networking, Sensing and Control: Delft, The Netherlands, 11-13 April, 2011, Piscataway, NJ: IEEE Communications Society, 2011, p. 181-185Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates on the development and implementation of a high integrity navigation system based on the combined use of the Global Positioning System (GPS) and an inertial measurement unit (IMU) for land vehicle applications. The complementary properties of the GPS and the INS have motivated several works dealing with their fusion by using a Kalman Filter. The conventional kalman filter has a fix error covariance matrix in all times of processing. Multi-sensor based navigation system that is implemented in this paper is called data synchronization. Also, multi-rate operations that are compared with conventional Kalman filtering has fix error covariance matrix. Therefore, when GPS outage occurred we have improper treat by kalman filter. In this paper we present an Adaptive method instead of conventional methods. It is shown that proposed method has a better performance rather than conventional method. Experimental results show the effectiveness of the GPS/INS integrated system.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2011
Keywords
Information technology - Automatic control, Informationsteknik - Reglerteknik
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-34333 (URN)10.1109/ICNSC.2011.5874871 (DOI)79959969911 (Scopus ID)881e3448-edb6-4a20-9beb-dc8ab13465b6 (Local ID)978-1-4244-9570-2 (ISBN)881e3448-edb6-4a20-9beb-dc8ab13465b6 (Archive number)881e3448-edb6-4a20-9beb-dc8ab13465b6 (OAI)
Conference
IEEE International Conference on Networking, Sensing and Control : 11/04/2011 - 13/04/2011
Note
Godkänd; 2011; 20110407 (tgu)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Fakharian, A. & Gustafsson, T. (2011). An iterative-LMI based H2 control of singular perturbation systems (ed.). In: (Ed.), Jagannathan Sarangapani (Ed.), 2011 IEEE International Conference on Control Applications (CCA): 28 - 30 Sept. 2011, Denver, Colorado, USA ; part of 2011 5th IEEE Multi-Conference on Systems and Control (MSC). Paper presented at IEEE International Conference on Control Applications : 28/09/2011 - 30/09/2011 (pp. 1505-1509). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>An iterative-LMI based H2 control of singular perturbation systems
2011 (English)In: 2011 IEEE International Conference on Control Applications (CCA): 28 - 30 Sept. 2011, Denver, Colorado, USA ; part of 2011 5th IEEE Multi-Conference on Systems and Control (MSC) / [ed] Jagannathan Sarangapani, Piscataway, NJ: IEEE Communications Society, 2011, p. 1505-1509Conference paper, Published paper (Refereed)
Abstract [en]

In this paper an iterative LMI based approach for solving the H2 control problem using static state feedback for singular perturbation systems is proposed. The proposed controller is given in terms of the solution of a set of matrix inequalities independent of singular parameter . These inequalities are not in the form of linear matrix inequalities (LMI). By introducing a new iterative algorithm, these inequalities are solved through iterative LMI formulation. To show the effectiveness of the proposed algorithm comparing to other standard time-scale decomposition methods, an illustrative example is also provided

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2011
Series
I E E E International Conference on Control Applications. Proceedings, ISSN 1085-1992
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-33133 (URN)10.1109/CCA.2011.6044517 (DOI)2-s2.0-80155171897 (Scopus ID)7ec43dcd-df0e-491d-9c14-e4d6cad13f9b (Local ID)978-1-457-71063-6 (ISBN)978-1-4577-1061-2 (ISBN)7ec43dcd-df0e-491d-9c14-e4d6cad13f9b (Archive number)7ec43dcd-df0e-491d-9c14-e4d6cad13f9b (OAI)
Conference
IEEE International Conference on Control Applications : 28/09/2011 - 30/09/2011
Note
Validerad; 2011; 20110702 (ahmfak)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Fakharian, A. (2011). Design of switching multiobjective controller: A new approach (ed.). Paper presented at . Mathematical problems in engineering (Print), 2011
Open this publication in new window or tab >>Design of switching multiobjective controller: A new approach
2011 (English)In: Mathematical problems in engineering (Print), ISSN 1024-123X, E-ISSN 1563-5147, Vol. 2011Article in journal (Refereed) Published
Abstract [en]

Design of switching H 2 / H ∞ output-feedback controller for discrete-time LTI systems with state-multiplicative noise is considered. The closed loop system achieves a minimum bound on the stochastic H 2 performance level, while satisfying the H ∞ performance. The proposed controller is based on a fuzzy supervisor which manages the combination of two separate H 2 and H ∞ controllers. A convex formulation of the two controllers leads to a structure which benefits from the advantages of both controllers to ensure a good performance in both the transient phase (H 2 controller) and the steady phase (H ∞ controller). The stability analysis uses the Lyapunov technique, inspired from switching system theory, to prove that the closed loop system with the proposed controller structure remains globally stable despite the configuration changing

National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-16245 (URN)10.1155/2011/705346 (DOI)000298799300001 ()2-s2.0-84855584395 (Scopus ID)fdb6e54b-494f-45e2-be09-4fa67d141322 (Local ID)fdb6e54b-494f-45e2-be09-4fa67d141322 (Archive number)fdb6e54b-494f-45e2-be09-4fa67d141322 (OAI)
Note
Validerad; 2012; Bibliografisk uppgift: Article number 705346 ; 20120213 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Fakharian, A. & Gustafsson, T. (2011). H2 static state feedback control or linear singular perturbation systems: a new approach (ed.). In: (Ed.), (Ed.), 2011 Canadian Conference on Electrical and Computer Engineering, CCECE 2011: May 8-11 2011, Niagara Falls, Ontario, Canada. Paper presented at Canadian Conference on Electrical and Computer Engineering : 08/05/2011 - 11/05/2011 (pp. 1-6). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>H2 static state feedback control or linear singular perturbation systems: a new approach
2011 (English)In: 2011 Canadian Conference on Electrical and Computer Engineering, CCECE 2011: May 8-11 2011, Niagara Falls, Ontario, Canada, Piscataway, NJ: IEEE Communications Society, 2011, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

In this paper a new approach for solving the H2 control problem using static state-feedback for LTI singular perturbation systems is proposed which achieves a minimum bound on the H2 performance level of closed-loop system. The proposed controller is given in terms of the solution of a set of matrix inequalities independent of singular parameter . These inequalities are not in the form of linear matrix inequalities (LMI). By introducing a new algorithm, these inequalities are solved through LMI formulation. To show the effectiveness of the proposed algorithm comparing to other standard time-scale decomposition methods, an illustrative example is also provided.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2011
Series
Canadian Conference on Electrical and Computer Engineering, ISSN 0840-7789
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-31676 (URN)10.1109/CCECE.2011.6030397 (DOI)2-s2.0-80053948703 (Scopus ID)5ee10ed6-9733-470a-b966-255e5768b932 (Local ID)978-1-4244-9788-1 (ISBN)978-1-4244-9787-4 (ISBN)5ee10ed6-9733-470a-b966-255e5768b932 (Archive number)5ee10ed6-9733-470a-b966-255e5768b932 (OAI)
Conference
Canadian Conference on Electrical and Computer Engineering : 08/05/2011 - 11/05/2011
Note
Validerad; 2011; 20110419 (ahmfak)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Fakharian, A., Hosseini, S. & Gustafsson, T. (2011). Hybrid object detection using improved Gaussian mixture model (ed.). In: (Ed.), (Ed.), 11 International Conference on Control, Automation and Systems (ICCAS2011): 26-29 October 2011, Kintex, Korea. Paper presented at International Conference on Control, Automation and Systems : 26/10/2011 - 29/10/2011 (pp. 1475-1479). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>Hybrid object detection using improved Gaussian mixture model
2011 (English)In: 11 International Conference on Control, Automation and Systems (ICCAS2011): 26-29 October 2011, Kintex, Korea, Piscataway, NJ: IEEE Communications Society, 2011, p. 1475-1479Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we propose a novel approach to detect moving objects in a complex background. The Gaussian mixture model (GMM) is an effective way to extract moving objects from a video sequence. However, the conventional mixture Gaussian method suffers from false motion detection in complex backgrounds and slow convergence. This work, in order to achieve robust and accurate extraction of the shapes of moving objects, applies a hybrid method to remove noise from images. The proposed model consists of two stages. The first stage consists of a fourth order PDE and the second stage is a relaxed median Experimental results show that the proposed model performs well even in the presence of higher levels of noise.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2011
Series
International Conference on Control, Automation and Systems, ISSN 2093-7121
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-29623 (URN)3296bb97-ca98-4e0d-972d-93fea3ed9505 (Local ID)978-89-93215-03-8 (ISBN)3296bb97-ca98-4e0d-972d-93fea3ed9505 (Archive number)3296bb97-ca98-4e0d-972d-93fea3ed9505 (OAI)
Conference
International Conference on Control, Automation and Systems : 26/10/2011 - 29/10/2011
Note
Validerad; 2011; 20110702 (ahmfak)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Fakharian, A., Hosseini, S. & Gustafsson, T. (2011). Precise hybrid motion detection and tracking in dynamic background (ed.). In: (Ed.), (Ed.), The 19th Mediterranean Conference on Control and Automation (MED2011): June 20-23, 2011, Corfu, Greece. Paper presented at Mediterranean Conference on Control and Automation : 20/06/2011 - 23/06/2011 (pp. 1398-1402). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>Precise hybrid motion detection and tracking in dynamic background
2011 (English)In: The 19th Mediterranean Conference on Control and Automation (MED2011): June 20-23, 2011, Corfu, Greece, Piscataway, NJ: IEEE Communications Society, 2011, p. 1398-1402Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel and robust algorithm, for multiple motion detection and tracking in dynamic and complex scenes. The algorithm consists of two steps: at first, we use a robust algorithm for human detection. Then, Gaussian mixture model (GMM), Neighborhood-based difference and Overlapping-based classification are applied to improve human detection performance .The conventional mixture Gaussian method suffers from false motion detection in complex backgrounds and slow convergence. We combine three above mentioned methods to obtain detection. The second step of the proposed algorithm is object tracking framework based on Kalman filtering which works well in dynamic scenes. Experimental results show the high performance of the proposed method for multiple object tracking in complex and noisy backgrounds.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2011
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-30105 (URN)10.1109/MED.2011.5982991 (DOI)2-s2.0-80052387019 (Scopus ID)3d3bf316-8137-412c-be42-54000d5a8098 (Local ID)978-1-4577-0124-5 (ISBN)3d3bf316-8137-412c-be42-54000d5a8098 (Archive number)3d3bf316-8137-412c-be42-54000d5a8098 (OAI)
Conference
Mediterranean Conference on Control and Automation : 20/06/2011 - 23/06/2011
Note
Godkänd; 2011; 20110419 (ahmfak)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Taghimohammadi, E., Fakharian, A. & Beheshti, M. t. (2011). Simulation and assessment of wireless fieldbus networks over IEEE802.11 (ed.). In: (Ed.), (Ed.), Canadian Conference on Electrical and Computer Engineering (CCECE2011): May 8-11 2011, Niagara Falls, Ontario, Canada. Paper presented at Canadian Conference on Electrical and Computer Engineering : 08/05/2011 - 11/05/2011 (pp. 001054-001059). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>Simulation and assessment of wireless fieldbus networks over IEEE802.11
2011 (English)In: Canadian Conference on Electrical and Computer Engineering (CCECE2011): May 8-11 2011, Niagara Falls, Ontario, Canada, Piscataway, NJ: IEEE Communications Society, 2011, p. 001054-001059Conference paper, Published paper (Refereed)
Abstract [en]

The recent improvement of wireless communication networks has made possible the use of such networks at the lowest levels of factory automation systems, which typically imposes severe requirements in terms of both real-time performance and dependability. However, Industrial plants represent a hostile environment, for communication systems, due to the presence of different kind of noises. The presence of these noises can easily inflict damages on the wireless information signals and creates erroneous interruptions on the data transmitted. In most wireless industrial systems, such errors and interferences are modelled by AWGN and Gilbert-Elliot models. In this paper, we have attempted to assess the performance of the wireless fieldbus network on the aforementioned channels in order to evaluate the potential performance of AWGN and its comparison with the Gilbert-Elliot channel. Furthermore, the handling of asynchronous alarm packets is done by considering two methods of Late and Immediate technique. The NS2 simulation results have proved the superior performance of AWGN model in comparison with Gilbert- Elliot model.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2011
Series
Canadian Conference on Electrical and Computer Engineering, ISSN 0840-7789
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-39343 (URN)10.1109/CCECE.2011.6030622 (DOI)2-s2.0-80054003688 (Scopus ID)e08f9878-96d8-47da-970f-874391a7f6ca (Local ID)978-1-4244-9788-1 (ISBN)978-1-4244-9787-4 (ISBN)e08f9878-96d8-47da-970f-874391a7f6ca (Archive number)e08f9878-96d8-47da-970f-874391a7f6ca (OAI)
Conference
Canadian Conference on Electrical and Computer Engineering : 08/05/2011 - 11/05/2011
Note
Validerad; 2011; 20110419 (ahmfak)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-07-10Bibliographically approved
Organisations

Search in DiVA

Show all publications