FKEE - Official Portal

FACULTY OF ELECTRICAL &
ELECTRONICS ENGINEERING

 Dr. Ahmad Nor Kasruddin Nasir

Robot dynamics & Motion control, Bio-inspired and Nature-Inspired optimization algorithm, System identification, Modelling and control, Artificial intelligence.

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Senior Lecturer,
Instrumentation and Control  Engineering (ICE) research cluster,
Faculty of Electrical and Electronics Engineering,
Universiti Malaysia Pahang,
26600, Pekan, Pahang, Malaysia

Phone: +609-424-6153
Fax:   +609-424-6000
email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Alternative website: ee.ump.edu.my/ankn

 

| Education | Teaching | Supervision | Research & Development | Publications |

 
 
 
 
 
Publications

 

Module:

Book & Chapter:

Journal papers (as a first author)

  1. ANK Nasir, MO Tokhi. Novel metaheuristic hybrid spiral-dynamic bacteria-chemotaxis algorithms for global optimisation. Applied Soft Computing 27, 357-375.

  2. ANK Nasir, MO Tokhi, NMA Ghani. Novel adaptive bacterial foraging algorithms for global optimisation with application to modelling of a TRS. Expert Systems with Applications 42 (3), 1513-1530

  3. ANK Nasir, MO Tokhi. An Improved Spiral Dynamic Optimization Algorithm With Engineering Application. IEEE Transaction on Man, Systems and Cybernatics.

  4. ANK Nasir, MO Tokhi. A novel hybrid bacteria-chemotaxis spiral-dynamic algorithm with application to modelling of flexible systems. Engineering Applications of Artificial Intelligence 33, 31-46.

  5. ANK Nasir, MO Tokhi, N Ghani. Novel Adaptive Bacteria Foraging Algorithms for Global Optimization. Applied Computational Intelligence and Soft Computing 2014.

  6. ANK Nasir, RMTR Ismail, MO Tokhi. Adaptive spiral dynamics metaheuristic algorithm for global optimisation with application to modelling of a flexible system. Applied Mathematical Modelling 40 (9), 5442-5461

Conference papers (as a first author)

  1. ANK Nasir, MO Tokhi, ME Omar, NMA Ghani. An improved spiral dynamic algorithm and its application to fuzzy modelling of a twin rotor system. Computer Applications & Research (WSCAR), 2014 World Symposium on, 1-6.

  2. ANK Nasir, MO Tokhi, NMA Ghani. Novel hybrid bacterial foraging and spiral dynamics algorithms. Computational Intelligence (UKCI), 2013 13th UK Workshop on, 199-205.

  3. ANK Nasir, MO Tokhi, O Sayidmarie, RMT Ismail. A novel adaptive spiral dynamic algorithm for global optimization. Computational Intelligence (UKCI), 2013 13th UK Workshop on, 334-341.

  4. ANK Nasir, MO Tokhi. A novel hybrid spiral-dynamics random-chemotaxis optimization algorithm with application to modelling of a flexible robot manipulator. Proceeding of 2013 16th International Conference on Climbing and Walking Robot.

  5. ANK Nasir, MZM Tumari, MR Ghazali. Performance comparison between Sliding Mode Controller SMC and Proportional-Integral-Derivative PID controller for a highly nonlinear two-wheeled balancing robot. Soft Computing and Intelligent Systems (SCIS).

  6. ANK Nasir, MO Tokhi, NM Abd Ghani, MA Ahmad. A novel hybrid spiral-dynamics bacterial-foraging algorithm for global optimization with application to control design. Computational Intelligence (UKCI), 2012 12th UK Workshop on, 1-7.

  7. ANK Nasir, MO Tokhi, NMA Ghani, MA Ahmad. A novel hybrid spiral dynamics bacterial chemotaxis algorithm for global optimization with application to controller design. Control (CONTROL), 2012 UKACC International Conference on, 753-758.

  8. ANK Nasir, MA Ahmad, R Ghazali, NS Pakheri. Performance comparison between fuzzy logic controller (FLC) and PID controller for a highly nonlinear two-wheels balancing robot. Informatics and Computational Intelligence (ICI), 2011 First International.

  9. ANK Nasir, MA Ahmad, RMTR Ismail. The control of a highly nonlinear two-wheels balancing robot: A comparative assessment between LQR and PID-PID control schemes. World Academy Of Science Engineering and Technology 46 (44), 227-232.

  10. ANK Nasir, MA Ahmad, R Ismail. The control of a highly nonlinear balancing robot: A comparative assessment between LQR and PID-PID Control Schemes. International Journal of Computer and Communication Engineering 44 (46), 227-232.

  11. ANK Nasir, R Ismail, MA Ahmad. Performance comparison between sliding mode control (SMC) and PD-PID controllers for a nonlinear inverted pendulum system. World Academy of Science, Engineering and Technology 71.

  12. ANK Nasir, MA Ahmad, N Hambali. Performance Comparison between LQR and PID Controller for a Speed and Path Trajectory control of a Hovercraft System.

  13. ANK Nasir, MA Ahmad, MF Rahmat. Performance comparison between LQR and PID controllers for an inverted pendulum system. INTERNATIONAL CONFERENCE ON POWER CONTROL AND OPTIMIZATION: Innovation in.

  14. ANK Nasir, M Rahmat, M Ahmad. Performance comparison between PID and fuzzy logic controller for an inverted pendulum system.