Dr. Montadher Sami Shaker
Department of Electrical Engineering
Montadher Sami Shaker was born in Baghdad 1979. He graduated at the Electrical Engineering Department, University of Technology-Iraq (EEDUOT) with BSc and MSc degrees in Electronic and Communication Engineering in 2001 and 2005, respectively. His PhD study in Electrical Engineering has been accomplished in 2012 at the School of Engineering, University of Hull, UK. He is a member of the academic staff at the EEDUOT since 2005. Currently, he is Assistant Professor at the EEDUOT with research interest includes: fault tolerant control, model-based fault diagnosis methods, sliding mode control, and control of renewable energy systems.
Title
- Assistant Professor
Education
Ph.D., Control engineering, University of Hull, UK, 2013M.Sc., Electronic Engineering, University of Technology, Iraq, 2005
B.Sc., Electronic and Communication Engineering, University of Technology, Iraq, 2001.
Research Interests
•• Robust control,
• Fault tolerant control,
• Fault diagnosis,
• Sliding mode control,
• Sliding mode observers,
• Wind turbine Control,
• model-based fault estimation
Teaching
Control systems analysis and design,
• Electrical circuit theory,
• Microprocessor,
• Analogy communication systems,
• Visual Basic programming language,
• Engineering analysis,
• Technical English.
- NS Abdul‐Jaleel, MS Shaker,Asian Journal of Control 26 (2), 1017-1036, 2024 /Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault
- NS Abdul-Jaleel, MS Shaker,International Journal of Dynamics and Control 11 (2), 759-770, 2023 /A robust estimation and compensation-based fault-tolerant control for large-scale interconnected systems with actuator saturation
- AA Kraidi, RH Ahmed, AS Hadi, MS Shaker,Earth Systems Protection and Sustainability: Volume 2, 265-291, 2022 /Sustainable Wind Turbine Systems Based on On-line Fault Estimation and Fault Tolerant Control
- RH Ahmed, MS Shaker,IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING …, 2022 /Robust Sensor Fault Estimation for Control Systems Affected by Friction Force
- NS Abdul-Jaleel, MS Shaker,IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING …, 2022 /Unknown Input Observer-Based Decentralized PID-BFO Algorithm for Interconnected Systems Against Fault Actuator
- AS Hadi, MS Shaker,Journal of the Franklin Institute 357 (13), 8956-8979, 2020 /A new estimation/decoupling approach for robust observer-based fault reconstruction in nonlinear systems affected by simultaneous time varying actuator and sensor faults
- AS Hadi, MS Shaker, QA Jawad,International Journal of Systems Science 50 (13), 2473-2485, 2019 /Estimation/decoupling approach for robust Takagi–Sugeno UIO-based fault reconstruction in nonlinear systems affected by a simultaneous time-varying actuator and sensor faults
- MS Shaker, AA Kraidi,Journal of King Saud University-Engineering Sciences 31 (3), 238-244, 2019 /Robust observer-based DC-DC converter control
- M Shaker,IET Control Theory & Applications 13 (5), 632 – 641, 2019 /Hybrid approach to design Takagi–Sugeno observer-based FTC for non-linear systems affected by simultaneous time varying actuator and sensor faults
- MS Shaker, AA Kraidi,Arabian Journal for Science and Engineering 42 (7), 3055–3063, 2017 /Robust Fault-Tolerant Control of Wind Turbine Systems Against Actuator and Sensor Faults
- MS Shaker,Arabian Journal for Science and Engineering 41 (9), 3695-3702, 2016 /Integral sliding mode approach to robust control systems against friction force
- MS Shaker, RJ Patton, Hadi, A S.,Al-Muhandis J. 153, 60-69, 2016 /Investigation of New Trends for Wind Turbine Operation and Control
- AA Kraidi, MS Shaker,Presented at the 2nd Sustainable and Renewable Energy Conference …, 2016 /On-line fault estimation and compensation approach to sustainable wind turbine systems
- M Sami Shaker,AUT Journal of Modeling and Simulation 47 (2), 11-19, 2015 /A robust adaptive observer-based time varying fault estimation
- MS Shaker, RJ Patton,Engineering Applications of Artificial Intelligence 34, 1-12, 2014 /Active sensor fault tolerant output feedback tracking control for wind turbine systems via T–S model
- MS Shaker, RJ Patton,Wind turbine control and monitoring, 157-190, 2014 /A fault tolerant control approach to sustainable offshore wind turbines
- M Sami, RJ Patton,International Journal of Control, Automation and Systems 11, 1149-1161, 2013 /Active fault tolerant control for nonlinear systems with simultaneous actuator and sensor faults
- M Sami, RJ Patton,International Conference on Control (CONTROL), 2012 UKACC, 114-119, 2012 /Wind turbine sensor fault tolerant control via a multiple-model approach
- M Sami, RJ Patton,2012 20th Mediterranean Conference on Control & Automation (MED), 498-503, 2012 /A multiple-model approach to fault tolerant tracking control for non-linear systems
- M Sami, RJ Patton,2012 20th Mediterranean Conference on Control & Automation (MED), 1183-1188, 2012 /Wind turbine power maximisation based on adaptive sensor fault tolerant sliding mode control
• 2012- 2nd paper prize on the competition on fault detection and fault tolerant control for wind turbinessponsored by kk-electronic and MathWorks for paper ( An FTC approach to wind turbine power maximisation via T-S fuzzy modelling and control. 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes. Mexico City, Mexico ).
• 2011- Winner of THE HUMBER STRATEGIC INDUSTRIES LECTURE AWARD 2011 presented to the winning poster being exhibited at the New Energy Economy: Challenges and Opportunities for Industry.