| Optimal dynamic quantizers for discrete-valued input control S Azuma, T Sugie Automatica 44 (2), 396-406, 2008 | 203 | 2008 |
| Synthesis of optimal dynamic quantizers for discrete-valued input control S Azuma, T Sugie IEEE Transactions on Automatic Control 53 (9), 2064-2075, 2008 | 135 | 2008 |
| マルチエージェントシステムの制御: 導入と準備 東俊一， 永原正章 システム/制御/情報 57 (5), 207-210, 2013 | 122 | 2013 |
| Stochastic source seeking by mobile robots S Azuma, MS Sakar, GJ Pappas IEEE Transactions on Automatic Control 57 (9), 2308-2321, 2012 | 115 | 2012 |
| Distributed controllers for multi-agent coordination via gradient-flow approach K Sakurama, S Azuma, T Sugie IEEE Transactions on Automatic Control 60 (6), 1471-1485, 2014 | 93 | 2014 |
| Broadcast control of multi-agent systems S Azuma, R Yoshimura, T Sugie Automatica 49 (8), 2307-2316, 2013 | 89 | 2013 |
| Role assignment in multi-agent coordination M Ji, S Azuma, M Egerstedt International Journal of Assistive Robotics and Mechatronics 7 (1), 32-40, 2006 | 83 | 2006 |
| Formation shape control with distance and area constraints BDO Anderson, Z Sun, T Sugie, S Azuma, K Sakurama IFAC Journal of Systems and Control 1, 2-12, 2017 | 81 | 2017 |
| Strong structural controllability of Boolean networks: Polynomial-time criteria, minimal node control, and distributed pinning strategies S Zhu, J Lu, S Azuma, WX Zheng IEEE Transactions on Automatic Control 68 (9), 5461-5476, 2022 | 74 | 2022 |
| Structural monostability of activation-inhibition Boolean networks S Azuma, T Yoshida, T Sugie IEEE Transactions on Control of Network Systems 4 (2), 179-190, 2015 | 61 | 2015 |
| Performance analysis of model-free PID tuning of MIMO systems based on simultaneous perturbation stochastic approximation MA Ahmad, S Azuma, T Sugie Expert Systems with Applications 41 (14), 6361-6370, 2014 | 61 | 2014 |
| Controllability analysis of biosystems based on piecewise-affine systems approach S Azuma, E Yanagisawa, J Imura IEEE Transactions on Automatic Control 53 (Special Issue), 139-152, 2008 | 56 | 2008 |
| Dynamic quantization of nonlinear control systems S Azuma, T Sugie IEEE Transactions on Automatic Control 57 (4), 875-888, 2011 | 51 | 2011 |
| Lebesgue piecewise affine approximation of nonlinear systems S Azuma, J Imura, T Sugie Nonlinear Analysis: Hybrid Systems 4 (1), 92-102, 2010 | 51 | 2010 |
| An optimal dynamic quantizer for feedback control with discrete-valued signal constraints Y Minami, S Azuma, T Sugie 2007 46th IEEE Conference on Decision and Control, 2259-2264, 2007 | 48 | 2007 |
| Toward stabilizable large-scale Boolean networks by controlling the minimal set of nodes S Zhu, J Cao, L Lin, J Lam, S Azuma IEEE Transactions on Automatic Control 69 (1), 174-188, 2023 | 47 | 2023 |
| A model-free approach for maximizing power production of wind farm using multi-resolution simultaneous perturbation stochastic approximation MA Ahmad, S Azuma, T Sugie Energies 7 (9), 5624-5646, 2014 | 44 | 2014 |
| Optimal dynamic quantizers for feedback control with discrete-level actuators: unified solution and experimental evaluation S Azuma, Y Minami, T Sugie | 44 | 2011 |
| Power regulation with predictive dynamic quantizer in power packet dispatching system R Takahashi, S Azuma, T Hikihara IEEE Transactions on Industrial Electronics 63 (12), 7653-7661, 2016 | 43 | 2016 |
| Control of multi-agent systems S Azuma, M Nagahara, H Ishii, N Hayashi, K Sakurama, T Hatanaka CORONA PUBLISHING CO., LTD, 2015 | 38 | 2015 |
Yuki MinamiOsaka UniversityBestätigte E-Mail-Adresse bei y373.sakura.ne.jp
