Ton Do, PhD

Assistant Professor

Assistant Professor, School of Engineering and Digital Sciences, Department of Robotics and Mechatronics

Emaildoduc.ton@nu.edu.kz

Accepting PhD Students

PhD projects

control applications, control theory, power systems control, robot control

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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Personal profile

External positions

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1 Finished
1 Not started

Adaptive Energy Efficiency Optimization Framework for Cloud Computing
Bui, M., Do, T. & Boranbayev, A.
Project: Monitored by Research Administration
Fault-Tolerant Direct-Torque Control System Design with High-Order Observers for Interior Permanent Magnet Synchronous Motors in Electric Vehicle Applications
Do, T. & Jung, J. W.
6/1/17 → 12/31/20
Project: Monitored by Research Administration

1081 Citations
13 h-Index
42 Article
11 Conference contribution
6 Paper
1 Editorial
More
- 1 Review article

A Novel hybrid ant colony-particle swarm optimization techniques based tuning STATCOM for grid code compliance
Do, T. D., 2020, In: IEEE Access.
Research output: Contribution to journal › Article › peer-review
A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance
Kamel, O. M., Diab, A. A. Z., Do, T. D. & Mossa, M. A., Jan 1 2020, In: IEEE Access. 8, p. 41566-41587 22 p., 9016268.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Citation (Scopus)
A novel sensorless control for multiphase induction motor drives based on singularly perturbed sliding mode observer-experimental validation
Mossa, M. A., Echeikh, H., Iqbal, A., Do, T. D. & Al-Sumaiti, A. S., Apr 1 2020, In: Applied Sciences (Switzerland). 10, 8, 2776.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Citations (Scopus)
A novel sensorless control of multiphase induction motor drives based on singularity perturbed sliding mode observer – experimental validation
Do, T. D., 2020, In: Applied Sciences (Switzerland).
Research output: Contribution to journal › Article › peer-review
Coyote Optimization Algorithm for Parameters Estimation of Various Models of Solar Cells and PV Modules
DIab, A. A. Z., Sultan, H. M., Do, T. D., Kamel, O. M. & Mossa, M. A., 2020, In: IEEE Access. 8, p. 111102-111140 39 p., 9110875.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Citations (Scopus)

External positions

Adaptive Energy Efficiency Optimization Framework for Cloud Computing

Fault-Tolerant Direct-Torque Control System Design with High-Order Observers for Interior Permanent Magnet Synchronous Motors in Electric Vehicle Applications

A Novel hybrid ant colony-particle swarm optimization techniques based tuning STATCOM for grid code compliance

A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance

A novel sensorless control for multiphase induction motor drives based on singularly perturbed sliding mode observer-experimental validation

A novel sensorless control of multiphase induction motor drives based on singularity perturbed sliding mode observer – experimental validation

Coyote Optimization Algorithm for Parameters Estimation of Various Models of Solar Cells and PV Modules