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Ian M. Howard
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Journal Articles
- 2024
- [j13]Jichun Xing, Chao Ning, Yuan Zhi, Ian M. Howard:
Analysis of bifurcation and chaotic behavior of the micro piezoelectric pipe-line robot drive system with stick - slip mechanism. Commun. Nonlinear Sci. Numer. Simul. 134: 107998 (2024) - [j12]Waqas Amin Gill, Ian M. Howard, Ilyas Mazhar, Kristoffer K. McKee:
Design and Modelling of MEMS Vibrating Internal Ring Gyroscopes for Harsh Environments. Sensors 24(17): 5854 (2024) - 2023
- [j11]Hamed Habibi, Amir Mehdi Yazdani, Mohamed Darouach, Hai Wang, Tyrone Fernando, Ian M. Howard:
Observer-Based Sensor Fault-Tolerant Control With Prescribed Tracking Performance for a Class of Nonlinear Systems. IEEE Trans. Autom. Control. 68(12): 8259-8266 (2023) - [j10]Jichun Xing, Wei Jin, Kuang Yang, Ian M. Howard:
A Bionic Piezoelectric Robotic Jellyfish With a Large Deformation Flexure Hinge. IEEE Trans. Ind. Electron. 70(12): 12596-12605 (2023) - 2022
- [j9]Waqas Amin Gill, Ian M. Howard, Ilyas Mazhar, Kristoffer K. McKee:
A Review of MEMS Vibrating Gyroscopes and Their Reliability Issues in Harsh Environments. Sensors 22(19): 7405 (2022) - 2021
- [j8]Hamed Habibi, Ian M. Howard, Silvio Simani, Afef Fekih:
Decoupling Adaptive Sliding Mode Observer Design for Wind Turbines Subject to Simultaneous Faults in Sensors and Actuators. IEEE CAA J. Autom. Sinica 8(4): 837-847 (2021) - 2020
- [j7]Hamed Habibi, Ian M. Howard, Reza Habibi:
The detection of multiple faults in a Bayesian setting using dynamic programming approaches. Signal Process. 175: 107618 (2020) - 2019
- [j6]Hamed Habibi, Hamed Rahimi Nohooji, Ian M. Howard:
Backstepping Nussbaum gain dynamic surface control for a class of input and state constrained systems with actuator faults. Inf. Sci. 482: 27-46 (2019) - 2018
- [j5]Hamed Habibi, Hamed Rahimi Nohooji, Ian M. Howard:
Adaptive PID Control of Wind Turbines for Power Regulation With Unknown Control Direction and Actuator Faults. IEEE Access 6: 37464-37479 (2018) - [j4]Hamed Rahimi Nohooji, Ian M. Howard, Lei Cui:
Neural impedance adaption for assistive human-robot interaction. Neurocomputing 290: 50-59 (2018) - [j3]Hamed Habibi, Ian M. Howard, Reza Habibi:
Sensor fault detection and isolation: a game theoretic approach. Int. J. Syst. Sci. 49(13): 2826-2846 (2018) - [j2]Hamed Rahimi Nohooji, Ian M. Howard, Lei Cui:
Neural network adaptive control design for robot manipulators under velocity constraints. J. Frankl. Inst. 355(2): 693-713 (2018) - 2015
- [j1]Kristoffer K. McKee, Gareth L. Forbes, Ilyas Mazhar, Rodney Entwistle, Melinda Hodkiewicz, Ian M. Howard:
A vibration cavitation sensitivity parameter based on spectral and statistical methods. Expert Syst. Appl. 42(1): 67-78 (2015)
Conference and Workshop Papers
- 2020
- [c6]Soumava Boral, Sanjay K. Chaturvedi, Ian M. Howard, Kristoffer K. McKee, V. N. Achuta Naikan:
An Integrated Approach for Fuzzy Failure Mode and Effect Analysis Using Fuzzy AHP and Fuzzy MARCOS. IEEM 2020: 395-400 - 2019
- [c5]Ngoc Tam Lam, Ian M. Howard, Lei Cui:
A Literature Review on Path Planning of Polyhedrons with Rolling Contact. CRC 2019: 145-151 - 2017
- [c4]Hamed Habibi, Hamed Rahimi Nohooji, Ian M. Howard:
A neuro-adaptive maximum power tracking control of variable speed wind turbines with actuator faults. ANZCC 2017: 63-68 - [c3]Hamed Habibi, Hamed Rahimi Nohooji, Ian M. Howard:
Constrained control of wind turbines for power regulation in full load operation. ASCC 2017: 2813-2818 - 2014
- [c2]Ezi Warman, Mikail F. Lumentut, Ian M. Howard:
Comparative numerical studies of electromechanical finite element vibration power harvester approaches of a piezoelectric unimorph. AIM 2014: 748-753 - [c1]Mikail F. Lumentut, Ian M. Howard:
Intrinsic geometries and properties of piezo-MEMS power harvesters with tip mass offset using new electromechanical finite element vibration analysis. AIM 2014: 760-765
Coauthor Index
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