A comparative review of wireless sensor network mote technologies M Johnson, M Healy, P Van de Ven, MJ Hayes, J Nelson, T Newe, ... SENSORS, 2009 IEEE, 1439-1442, 2009 | 213 | 2009 |
Robust distributed active power control technique for IEEE 802.15. 4 wireless sensor networks—A quantitative feedback theory approach SMM Alavi, MJ Walsh, MJ Hayes Control Engineering Practice 17 (7), 805-814, 2009 | 55 | 2009 |
New tools for computing tight bounds on the real structured singular value MJ Hayes, DG Bates, I Postlethwaite Journal of Guidance, Control, and Dynamics 24 (6), 1204-1213, 2001 | 51 | 2001 |
A comparison of problem-based and didactic learning pedagogies on an electronics engineering course M Johnson, MJ Hayes International Journal of Electrical Engineering Education 53 (1), 3-22, 2016 | 38 | 2016 |
Improved multivariable quantitative feedback design for tracking error specifications SMM Alavi, A Khaki-Sedigh, B Labibi, MJ Hayes IET Control Theory & Applications 1 (4), 1046-1053, 2007 | 28 | 2007 |
Robust active queue management design: A loop-shaping approach SMM Alavi, MJ Hayes Computer Communications 32 (2), 324-331, 2009 | 22 | 2009 |
Robust performance for an energy sensitive wireless body area network–an anti-windup approach M Walsh, M Hayes, J Nelson International Journal of Control 82 (1), 59-73, 2009 | 22 | 2009 |
Quantitative feedback design for a benchmark quadruple-tank process SMM Alavi, MJ Hayes 2006 IET Irish Signals and Systems Conference, 401-406, 2006 | 22 | 2006 |
Robust fault detection and isolation technique for single-input/single-output closed-loop control systems that exhibit actuator and sensor faults SMM Alavi, R Izadi-Zamanabadi, MJ Hayes IET Control Theory & Applications 2 (11), 951-965, 2008 | 20 | 2008 |
State‐space µ analysis for an experimental drive‐by‐wire vehicle M Halton, MJ Hayes, P Iordanov International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2008 | 17 | 2008 |
Human-in-loop: a review of smart manufacturing deployments M Bhattacharya, M Penica, E O’Connell, M Southern, M Hayes Systems 11 (1), 35, 2023 | 16 | 2023 |
Practical assessment of hardware limitations on power aware wireless sensor networks—An anti‐windup approach MJ Walsh, SMM Alavi, MJ Hayes International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2010 | 16 | 2010 |
A robust throughput rate control mechanism for an 802.15. 4 wireless sensor network-an anti-windup approach M Walsh, M Hayes 2007 American Control Conference, 3071-3076, 2007 | 14 | 2007 |
Robustness analysis of an integrated flight and propulsion control system using μ and the ν-gap metric SL Gatley, DG Bates, MJ Hayes, I Postlethwaite Control Engineering Practice 10 (3), 261-275, 2002 | 14 | 2002 |
On the applicability of model predictive power control to an IEEE 802.15. 4 wireless sensor network K Witheephanich, MJ Hayes IET Digital Library, 2009 | 13 | 2009 |
Energy harvesting for a green internet of things: PSMA white paper T Becker, V Borjesson, O Cetinkaya, C Baoxing, J Colomer-Farrarons, ... PSMA, 2021 | 12 | 2021 |
On the generation of LFT-based uncertainty models for flight control law robustness analysis R Kureemun, D Bates, M Hayes AIAA Guidance, Navigation, and Control Conference and Exhibit, 4396, 2001 | 12 | 2001 |
Clearance of the HIRMplus RIDE Flight Control Law: A µ-analysis approach DG Bates, R Kureemun, MJ Hayes, I Postlethwaite GARTEUR FM-AG11/TP-119–11, 2000 | 12 | 2000 |
REEdI-Rethinking engineering education in Ireland F Boyle, J Moolman, R Stephens, J Walsh Learning with Technologies and Technologies in Learning: Experience, Trends …, 2022 | 11 | 2022 |
A min–max model predictive control approach to robust power management in ambulatory wireless sensor networks K Witheephanich, JM Escano, DM de la Pena, MJ Hayes IEEE Systems Journal 8 (4), 1060-1073, 2013 | 11 | 2013 |