Ian Postlethwaite
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Ian Postlethwaite has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Da-Wei Gu
University of Leicester
10 shared publications - Kumar Pakki Bharani Chandra
Department of Electrical, Electronics and Communication Engineering, Gandhi Institute of Technology and Management, deemed to be University
3 shared publications - Mangal Kothari
Department of Aerospace Engineering, Indian Institute of Technology, Kanpur, India
3 shared publications Ghassan Murad
2 shared publicationsB. Chandra
Control & Instrum. Group, Univ. of Leicester, Leicester, UK
1 shared publicationBijnan Bandyopadhyay
Interdiscipl. Program in Syst. & Control Eng., Indian Inst. of Technol. Bombay, Mumbai, India
1 shared publication
Latest Publications
- 1 January 2014
- Published by Elsevier in IFAC Proceedings Volumes
- Vol. 47 (3) , 1977-1984
A Cooperative Pursuit-Evasion Game for Non-holonomic Systems
- 1 January 2014
- Published by Elsevier in IFAC Proceedings Volumes
- Vol. 47 (3) , 1977-1984
A Cooperative Pursuit-Evasion Game for Non-holonomic Systems
- 24 August 2013
- Published by Springer Nature in Journal of Intelligent & Robotic Systems
- Vol. 74 (3-4) , 1013-1028
UAV Path Following in Windy Urban Environments
- 24 August 2013
- Published by Springer Nature in Journal of Intelligent & Robotic Systems
- Vol. 74 (3-4) , 1013-1028
UAV Path Following in Windy Urban Environments
- 1 July 2013
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Cubature H∞ information filter
- 1 July 2013
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Cubature H∞ information filter
- 6 February 2013
- Published by Springer Nature in Journal of Intelligent & Robotic Systems
- Vol. 72 (3-4) , 373-384
Cooperative Target-capturing with Incomplete Target Information
- 6 February 2013
- Published by Springer Nature in Journal of Intelligent & Robotic Systems
- Vol. 72 (3-4) , 373-384
Cooperative Target-capturing with Incomplete Target Information
- 1 January 2012
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 349-354
Discrete-time sliding mode control using an H∞ filter for a quadruple tank system
The quadruple tank system is a challenging multi-variable model consisting of four interconnected tanks, two level sensors and two input pumps. This paper deals with the control and estimation of such a system. All the four levels of the system are controlled by H ∞ filter based discrete sliding mode control (SMC). A nonlinear stable sliding surface is constructed using full state information, to enhance the overall performance of the closed loop plant. In this multi-input multi-output quadruple tank system, only the first two states are available for feedback and hence it is not suitable to use any full state feedback control methods directly. To circumvent this problem, the remaining two states, which are required for the SMC design are estimated using a robust H ∞ filter. The efficacy of the proposed method is demonstrated by simulations.
- 1 January 2012
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 349-354
Discrete-time sliding mode control using an H∞ filter for a quadruple tank system
The quadruple tank system is a challenging multi-variable model consisting of four interconnected tanks, two level sensors and two input pumps. This paper deals with the control and estimation of such a system. All the four levels of the system are controlled by H ∞ filter based discrete sliding mode control (SMC). A nonlinear stable sliding surface is constructed using full state information, to enhance the overall performance of the closed loop plant. In this multi-input multi-output quadruple tank system, only the first two states are available for feedback and hence it is not suitable to use any full state feedback control methods directly. To circumvent this problem, the remaining two states, which are required for the SMC design are estimated using a robust H ∞ filter. The efficacy of the proposed method is demonstrated by simulations.
- 1 January 2011
- Published by Elsevier in IFAC Proceedings Volumes
- Vol. 44 (1) , 9091-9096
Fusion of an Extended H∞ Filter and Cubature Kalman filter
- 1 January 2011
- Published by Elsevier in IFAC Proceedings Volumes
- Vol. 44 (1) , 9091-9096
Fusion of an Extended H∞ Filter and Cubature Kalman filter
- 1 January 2011
- Published by Elsevier in IFAC Proceedings Volumes
- Vol. 44 (1) , 2121-2125
Cubature Kalman Filter based Localization and Mapping
- 1 January 2011
- Published by Elsevier in IFAC Proceedings Volumes
- Vol. 44 (1) , 2121-2125
Cubature Kalman Filter based Localization and Mapping
- 1 November 2007
- Published by American Institute of Aeronautics and Astronautics (AIAA) in Journal of Guidance, Control, and Dynamics
- Vol. 30 (6) , 1829-1835
Design of Static H8 Linear Parameter Varying Controllers for Unmanned Aircraft
- 1 November 2007
- Published by American Institute of Aeronautics and Astronautics (AIAA) in Journal of Guidance, Control, and Dynamics
- Vol. 30 (6) , 1829-1835
Design of Static H8 Linear Parameter Varying Controllers for Unmanned Aircraft
- 1 July 1999
- Published by Elsevier in IFAC Proceedings Volumes
- Vol. 32 (2) , 3189-3194
Performance limit: A μ -Synthesis approach
- 1 July 1999
- Published by Elsevier in IFAC Proceedings Volumes
- Vol. 32 (2) , 3189-3194
Performance limit: A μ -Synthesis approach
- Open Access
- 1 February 1998
- Published by Wiley in International Journal of Robust and Nonlinear Control
- Vol. 8 (2) , 95
Editorial
- 1 February 1998
- Published by Wiley in International Journal of Robust and Nonlinear Control
- Vol. 8 (2) , 95
Open AccessEditorial