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John Baillieul
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- affiliation: Boston University, USA
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2020 – today
- 2024
- [c52]Zexin Sun, John Baillieul:
Neuromimetic Dynamic Networks with Hebbian Learning. ACC 2024: 5264-5269 - [i26]Zexin Sun, Mingyu Chen, John Baillieul:
Koopman-based Deep Learning for Nonlinear System Estimation. CoRR abs/2405.00627 (2024) - 2023
- [c51]Eric Wendel, John Baillieul, Joseph Hollmann:
On the complexity of linear systems: an approach via rate distortion theory and emulating systems. ACC 2023: 2800-2805 - [c50]Eric Wendel, John Baillieul, Joseph Hollmann:
Steering a Linear System at the Minimum Information Rate: Quantifying Redundancy via Covariance Assignment Theory. CDC 2023: 4930-4935 - [c49]Zexin Sun, John Baillieul:
Emulation Learning for Neuromimetic Systems. CDC 2023: 8292-8299 - [i25]Zexin Sun, John Baillieul:
Emulation Learning for Neuromimetic Systems. CoRR abs/2305.03196 (2023) - [i24]Eric Wendel, John Baillieul, Joseph Hollmann:
On the complexity of linear systems: an approach via rate distortion theory and emulating systems. CoRR abs/2306.02435 (2023) - [i23]Zexin Sun, John Baillieul:
Neuromimetic Dynamic Networks with Hebbian Learning. CoRR abs/2310.02350 (2023) - 2022
- [c48]Zexin Sun, John Baillieul:
Neuromimetic Linear Systems - Resilience and Learning. CDC 2022: 7388-7394 - [c47]Chiara Boretti, Philippe Bich, Yanyu Zhang, John Baillieul:
Visual Navigation Using Sparse Optical Flow and Time-to-Transit. ICRA 2022: 9397-9403 - [i22]Zexin Sun, John Baillieul:
Neuromimetic Linear Systems - Resilience and Learning. CoRR abs/2205.05013 (2022) - [i21]Zexin Sun, John Baillieul:
Model Predictive Control for Neuromimetic Quantized Systems. CoRR abs/2212.09887 (2022) - 2021
- [c46]John Baillieul, Zexin Sun:
Neuromimetic Control - A Linear Model Paradigm. CDC 2021: 2709-2716 - [i20]John Baillieul, Feiyang Kang:
Visual Navigation with a 2-pixel Camera - Possibilities and Limitations. CoRR abs/2103.00285 (2021) - [i19]John Baillieul, Zexin Sun:
Neuromimetic Control - A Linear Model Paradigm. CoRR abs/2104.12926 (2021) - [i18]Chiara Boretti, Philippe Bich, Yanyu Zhang, John Baillieul:
Visual Navigation Using Sparse Optical Flow and Time-to-Transit. CoRR abs/2111.09669 (2021)
2010 – 2019
- 2019
- [c45]John Baillieul:
Perceptual Control with Large Feature and Actuator Networks. CDC 2019: 3819-3826 - [i17]John Baillieul:
Perceptual Control with Large Feature and Actuator Networks. CoRR abs/1903.10259 (2019) - 2018
- [j20]Kayhan Özcimder, Zhaodan Kong
, Shuai Wang, John Baillieul:
Perceiving Artistic Expression: A Formal Exploration of Performance Art Salsa. IEEE Access 6: 61867-61875 (2018) - [j19]John Baillieul:
Technical perspective: A control theorist's view on reactive control for autonomous drones. Commun. ACM 61(10): 95 (2018) - [j18]John Baillieul
Reflections on the Future of Research Curation and Research Reproducibility. Proc. IEEE 106(5): 779-783 (2018) - [j17]Réka Albert
Introduction to the Special Issue on Approaches to Control Biological and Biologically Inspired Networks. IEEE Trans. Control. Netw. Syst. 5(2): 690-693 (2018) - [c44]Shuai Wang, John Baillieul:
A Novel Decomposition for Control of DC Circuits and Grid Models with Heterogeneous Energy Sources. ACC 2018: 2630-2637 - [c43]Shuai Wang, John Baillieul:
Paradigm and Paradox in Topology Control of Power Grids. CDC 2018: 4863-4868 - [c42]Shuai Wang, John Baillieul:
Power Grid Decomposition Based on Vertex Cut Sets and Its Applications to Topology Control and Power Trading. CDC 2018: 4882-4889 - [i16]Shuai Wang, John Baillieul:
Paradigm and Paradox in Topology Control of Power Grids. CoRR abs/1803.05852 (2018) - [i15]Shuai Wang, John Baillieul:
Power Grid Decomposition Based on Vertex Cut Sets and Its Applications to Topology Control and Power Trading. CoRR abs/1803.05860 (2018) - [i14]Réka Albert, John Baillieul, Adilson E. Motter:
Introduction to the Special Issue on Approaches to Control Biological and Biologically Inspired Networks. CoRR abs/1807.00038 (2018) - 2017
- [i13]Shuai Wang, John Baillieul:
A Novel Decomposition for Control of DC Circuits and Grid Models with Heterogeneous Energy Sources. CoRR abs/1709.07569 (2017) - 2016
- [j16]John Baillieul, Michael C. Caramanis, Marija D. Ilic:
Control Challenges in Microgrids and the Role of Energy-Efficient Buildings [Scanning the Issue]. Proc. IEEE 104(4): 692-696 (2016) - [j15]Bowen Zhang
Control and Communication Protocols Based on Packetized Direct Load Control in Smart Building Microgrids. Proc. IEEE 104(4): 837-857 (2016) - [c41]Shuai Wang, John Baillieul:
Kirchhoff-Braess phenomena in DC electric networks. CDC 2016: 3286-3293 - 2015
- [c40]John Baillieul, Bowen Zhang
The Kirchhoff-Braess paradox and its implications for smart microgrids. CDC 2015: 6556-6563 - [e1]John Baillieul, Tariq Samad:
Encyclopedia of Systems and Control. Springer 2015, ISBN 978-1-4471-5102-9 [contents] - [r1]Wing Shing Wong, John Baillieul:
Information-Based Multi-Agent Systems. Encyclopedia of Systems and Control 2015 - [i12]John Baillieul, Bowen Zhang, Shuai Wang:
The Kirchhoff-Braess Paradox and Its Implications for Smart Microgrids. CoRR abs/1504.04319 (2015) - [i11]Bowen Zhang, John Baillieul:
Control and Communication Protocols that Enable Smart Building Microgrids. CoRR abs/1504.04327 (2015) - 2014
- [c39]Bowen Zhang
Optimal price-controlled demand response with explicit modeling of consumer preference dynamics. CDC 2014: 2481-2486 - [c38]John Baillieul, Zhaodan Kong:
Saliency based control in random feature networks. CDC 2014: 4210-4215 - [c37]Kayhan Özcimder, Zhaodan Kong, John Baillieul
Algorithmic approaches to artistic movement. CDC 2014: 5373-5380 - [i10]Bowen Zhang, Michael C. Caramanis, John Baillieul:
Control of Smart Building Dynamic Energy Service Preferences for Efficient Regulation Service. CoRR abs/1403.4828 (2014) - [i9]John Baillieul, Zhaodan Kong:
Saliency Based Control in Random Feature Networks. CoRR abs/1403.5462 (2014) - 2013
- [c36]Zhaodan Kong
Optical flow sensing and the inverse perception problem for flying bats. CDC 2013: 1608-1615 - [c35]Bowen Zhang
A two level feedback system design to provide regulation reserve. CDC 2013: 4322-4328 - [c34]Bowen Zhang
A novel packet switching framework with binary information in demand side management. CDC 2013: 4957-4963 - [i8]Bowen Zhang, John Baillieul:
A Packetized Direct Load Control Mechanism for Demand Side Management. CoRR abs/1301.5593 (2013) - [i7]Bowen Zhang, John Baillieul:
A Two Level Feedback System Design to Regulation Service Provision. CoRR abs/1301.6386 (2013) - [i6]Zhaodan Kong, Kayhan Özcimder, Nathan W. Fuller, Alison Greco, Diane H. Theriault, Zheng Wu, Thomas H. Kunz, Margrit Betke, John Baillieul:
Optical Flow Sensing and the Inverse Perception Problem for Flying Bats. CoRR abs/1303.3072 (2013) - [i5]Zhaodan Kong, Kayhan Özcimder, Nathan W. Fuller, John Baillieul:
Perception and Steering Control in Paired Bat Flight. CoRR abs/1311.4419 (2013) - 2012
- [j14]John Baillieul
Interaction Dynamics: The Interface of Humans and Smart Machines. Proc. IEEE 100(3): 567-570 (2012) - [j13]Dimitar Baronov, John Baillieul
Decision Making for Rapid Information Acquisition in the Reconnaissance of Random Fields. Proc. IEEE 100(3): 776-801 (2012) - [j12]Wing Shing Wong, John Baillieul
Control Communication Complexity of Distributed Actions. IEEE Trans. Autom. Control. 57(11): 2731-2745 (2012) - [c33]John Baillieul, Kayhan Özcimder:
The control theory of motion-based communication: Problems in teaching robots to dance. ACC 2012: 4319-4326 - [c32]Bowen Zhang
A packetized direct load control mechanism for demand side management. CDC 2012: 3658-3665 - [c31]Kenneth Sebesta, John Baillieul
Animal-inspired agile flight using optical flow sensing. CDC 2012: 3727-3734 - [c30]John Baillieul
Reliable and efficient communication through a controlled dynamical system. CISS 2012: 1-4 - [i4]Wing Shing Wong, John Baillieul:
Control Communication Complexity of Distributed Actions. CoRR abs/1201.6527 (2012) - [i3]Kenneth Sebesta, John Baillieul:
Animal-Inspired Agile Flight Using Optical Flow Sensing. CoRR abs/1203.2816 (2012) - 2011
- [j11]John Baillieul
Survey articles in Automatica. Autom. 47(12): 2553 (2011) - [j10]John Baillieul
A Motion Description Language for Robotic Reconnaissance of Unknown Fields. Eur. J. Control 17(5-6): 512-525 (2011) - [i2]Dimitar Baronov, John Baillieul:
Decision Making for Rapid Information Acquisition in the Reconnaissance of Random Fields. CoRR abs/1107.5348 (2011) - [i1]John Baillieul, Kayhan Özcimder:
The Control Theory of Motion-Based Communication: Problems in Teaching Robots to Dance. CoRR abs/1109.6037 (2011) - 2010
- [c29]Dhananjay Raghunathan, John Baillieul:
Search decisions in a game of polynomial root counting. ACC 2010: 2396-2403 - [c28]Dimitar Baronov, John Baillieul
Topology guided search of potential fields. CDC 2010: 5511-5517
2000 – 2009
- 2009
- [j9]John Baillieul, Wing Shing Wong:
Control Communication Complexity of Nonlinear Systems. Commun. Inf. Syst. 9(1): 103-140 (2009) - [c27]Dhananjay Raghunathan, John Baillieul
Exploiting information content in relative motion. ACC 2009: 2166-2171 - [c26]John Baillieul
Welcome from the General Co-Chairs. CDC 2009 - [c25]John Baillieul
The standard parts problem and the complexity of control communication. CDC 2009: 2723-2728 - [c24]Dhananjay Raghunathan, John Baillieul
Motion based communication channels between mobile robots - A novel paradigm for low bandwidth information exchange. IROS 2009: 702-708 - 2008
- [c23]Dimitar Baronov, John Baillieul
Autonomous vehicle control for ascending/descending along a potential field with two applications. ACC 2008: 678-683 - [c22]Dimitar Baronov, John Baillieul
Search decisions for teams of automata. CDC 2008: 1133-1138 - 2007
- [j8]John Baillieul
Control and Communication Challenges in Networked Real-Time Systems. Proc. IEEE 95(1): 9-28 (2007) - [c21]Dimitar Baronov, John Baillieul
Reactive exploration through following isolines in a potential field. ACC 2007: 2141-2146 - [c20]Dimitar Baronov, Sean B. Andersson, John Baillieul
Tracking a nanosize magnetic particle using a magnetic force microscope. CDC 2007: 2445-2450 - [c19]John Baillieul
The combinatorial graph theory of structured formations. CDC 2007: 3609-3615 - 2006
- [c18]John Baillieul:
Risk Sensitive Control of Complex Dynamical Systems. CDC 2006: 2872-2877 - [c17]Girish N. Nair, John Baillieul:
Time to Failure of Quantized Control via a Binary Symmetric Channel. CDC 2006: 2883-2888 - [c16]John Baillieul:
Remarks on a Simple Control Law for Point Robot Formations with Exponential Complexity. CDC 2006: 3357-3362 - 2005
- [c15]Jeremy Grace, John Baillieul
Stochastic Strategies for Autonomous Robotic Surveillance. CDC/ECC 2005: 2200-2205 - [c14]Keyong Li, John Baillieul
Problems in Decentralized Sensor-Actuator Networks. CDC/ECC 2005: 3207-3212 - [p1]Atul Suri, John Baillieul, Dhananjay Raghunathan:
Control Using Feedback over Wireless Ethernet and Bluetooth. Handbook of Networked and Embedded Control Systems 2005: 677-698 - 2004
- [j7]Panos J. Antsaklis, John Baillieul
Guest Editorial Special Issue on Networked Control Systems. IEEE Trans. Autom. Control. 49(9): 1421-1423 (2004) - [j6]Keyong Li, John Baillieul
Robust quantization for digital finite communication bandwidth (DFCB) control. IEEE Trans. Autom. Control. 49(9): 1573-1584 (2004) - [c13]Keyong Li, John Baillieul:
Robust quantization and coding for multidimensional linear systems under data rate constraints. CDC 2004: 1920-1925 - [c12]Kenichiro Nonaka
Bi-directional extension of the travel range of electrostatic actuators by open loop periodically switched oscillatory control. CDC 2004: 1964-1969 - 2003
- [j5]John Baillieul
Guest editorial: Special section on newdirections on nonlinear control. IEEE Trans. Autom. Control. 48(10): 1681-1682 (2003) - [c11]John Baillieul
Information patterns and Hedging Brockett's theorem in controlling vehicle formations. CDC 2003: 556-563 - [c10]A. C. Smith, John Baillieul:
Vortex models for the control of stall. CDC 2003: 2407-2412 - [c9]Keyong Li, John Baillieul:
Robust quantization for digital finite communication bandwidth (DFCB) control. CDC 2003: 3130-3135 - 2002
- [c8]John Baillieul:
Feedback coding for information-based control: operating near the data-rate limit. CDC 2002: 3229-3236 - 2001
- [c7]Kenichiro Nonaka, John Baillieul:
Open loop robust vibrational stabilization of a two wire system inside the snap-through instability region. CDC 2001: 1334-1341 - 2000
- [c6]A. C. Smith, John Baillieul:
Vortex models for the control of flows. CDC 2000: 1724-1729
1990 – 1999
- 1994
- [j4]Danbing Seto, Anuradha M. Annaswamy, John Baillieul
Adaptive control of nonlinear systems with a triangular structure. IEEE Trans. Autom. Control. 39(7): 1411-1428 (1994) - [j3]Danbing Seto, John Baillieul
Control problems in super-articulated mechanical systems. IEEE Trans. Autom. Control. 39(12): 2442-2453 (1994) - 1993
- [j2]Cheng-Zhong Xu
Stabilizability and stabilization of a rotating body-beam system with torque control. IEEE Trans. Autom. Control. 38(12): 1754-1765 (1993) - 1992
- [c5]John Baillieul:
Kinematic redundancy and the control of robots with flexible components. ICRA 1992: 715-721 - 1991
- [c4]Daniel P. Martin, John Baillieul:
Singular perturbations and the resolution of kinematic redundancy. ICRA 1991: 2174-2178
1980 – 1989
- 1989
- [j1]Daniel P. Martin, John Baillieul
Resolution of kinematic redundancy using optimization techniques. IEEE Trans. Robotics Autom. 5(4): 529-533 (1989) - 1987
- [c3]John Baillieul:
A constraint oriented approach to inverse problems for kinematically redundant manipulators. ICRA 1987: 1827-1833 - 1986
- [c2]John Baillieul:
Avoiding obstacles and resolving kinematic redundancy. ICRA 1986: 1698-1704 - 1985
- [c1]John Baillieul:
Kinematic programming alternatives for redundant manipulators. ICRA 1985: 722-728
Coauthor Index
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last updated on 2024-09-23 00:30 CEST by the dblp team
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