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Jeffrey T. Scruggs

Jeff T. Scruggs – J. T. Scruggs

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affiliation: University of Michigan, Ann Arbor,MI, USA

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Journal Articles

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2024
[j10]
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Connor H. Ligeikis, Jeffrey T. Scruggs:
On the Feasibility of Self-Powered Linear Feedback Control. IEEE Trans. Autom. Control. 69(1): 113-128 (2024)
[j9]
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Connor H. Ligeikis, Jeffrey T. Scruggs:
Causal, Stochastic MPC for Wave Energy Converters. IEEE Trans. Control. Syst. Technol. 32(2): 351-367 (2024)
[j8]
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Connor H. Ligeikis, Jeffrey T. Scruggs:
Multiobjective Vector Control of a Three-Phase Vibratory Energy Harvester. IEEE Trans. Control. Syst. Technol. 32(5): 1770-1784 (2024)
2022
[j7]
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Alyssa Kody, Jeffrey T. Scruggs:
MPC Trajectory Feasibility Constraints for Self-Powered Control Systems. IEEE Trans. Autom. Control. 67(12): 6611-6626 (2022)
[j6]
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Yejun Lao, Jeffrey T. Scruggs, Anantha Karthikeyan, Mirko Previsic:
Discrete-Time Causal Control of a Wave Energy Converter With Finite Stroke in Stochastic Waves. IEEE Trans. Control. Syst. Technol. 30(3): 1198-1214 (2022)
2020
[j5]
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Yejun Lao, Jeffrey T. Scruggs:
Nonlinear control of passive vibratory systems with finite actuation stroke. Autom. 118: 109013 (2020)
[j4]
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Jize Zhang, Alexandros A. Taflanidis, Jeffrey T. Scruggs:
Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition. J. Comput. Phys. 408: 109298 (2020)
[j3]
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Alyssa Kody, Jeffrey T. Scruggs:
Control of Impulsively Excited Vibration Energy Harvesters: Design and Viability Assessment. IEEE Trans. Control. Syst. Technol. 28(6): 2336-2351 (2020)
2018
[j2]
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Michael B. Kane, Jerome P. Lynch, Jeff T. Scruggs:
Development of a Scalable Distributed Model Predictive Control System for Hydronic Networks with Bilinear and Hybrid Dynamics. J. Comput. Civ. Eng. 32(5) (2018)
2015
[j1]
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Jeff T. Scruggs, Rudy Nie:
Disturbance-adaptive stochastic optimal control of energy harvesters, with application to ocean wave energy conversion. Annu. Rev. Control. 40: 102-115 (2015)

Conference and Workshop Papers

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2024
[c30]
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Jeffrey T. Scruggs, Richard Lee, Yafeng Yin:
Global Stabilization of Nash Equilibrium for Mixed Traffic. ACC 2024: 1480-1487
2023
[c29]
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Jeff T. Scruggs, Connor Ligeikis:
Necessary Conditions for Feasibility of Linear, Time-Invariant Self-Powered Feedback Control Laws. ACC 2023: 2097-2104
[c28]
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Connor Ligeikis, Jeff T. Scruggs:
Risk-Sensitive Control of Vibratory Energy Harvesters. CDC 2023: 2541-2548
2022
[c27]
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Connor Ligeikis, Jeff T. Scruggs:
Discrete-Time, Performance-Guaranteed Control of Vibratory Systems with Power Directionality Constraints. ACC 2022: 4248-4255
[c26]
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Connor Ligeikis, Jeff T. Scruggs:
An LQG-Inspired Framework for Self-Powered Feedback Control. CDC 2022: 4519-4526
2021
[c25]
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Connor Ligeikis, Jeff T. Scruggs:
Nonlinear Feedback Controllers for Self-Powered Systems with Non-Ideal Energy Storage Subsystems. ACC 2021: 1748-1753
[c24]
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Connor Ligeikis, Jeff T. Scruggs:
Feasibility and Synthesis of Finite-Dimensional, Linear Time-Invariant Synthetic Admittances for Self-Powered Systems. CDC 2021: 2440-2447
2020
[c23]
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Yejun Lao, Jeffrey T. Scruggs:
Robust Control of Wave Energy Converters Using Unstructured Uncertainty. ACC 2020: 4237-4244
2019
[c22]
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Alyssa Kody, Nathan Tom, Jeffrey T. Scruggs:
Model Predictive Control of a Wave Energy Converter Using Duality Techniques. ACC 2019: 5444-5451
[c21]
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Jeffrey T. Scruggs, Yejun Lao:
A new passivity-based nonlinear causal control technique for wave energy converters with finite stroke. ACC 2019: 5472-5479
[c20]
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Anantha Karthikeyan, Mirko Previsic, Jeffrey T. Scruggs, A. Chertok:
Non-linear Model Predictive Control of Wave Energy Converters with Realistic Power Take-off Configurations and Loss Model. CCTA 2019: 270-277
[c19]
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Yejun Lao, Jeffrey T. Scruggs:
A Modified Technique for Spectral Factorization of Infinite-Dimensional Systems Using Subspace Techniques. CDC 2019: 5412-5419
2018
[c18]
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Jeffrey T. Scruggs, Brenden S. Ritola:
Hybrid Control of Vibratory Networks with Semiresonant Latches. ACC 2018: 1452-1459
[c17]
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Alyssa Kody, Jeffrey T. Scruggs:
Optimal self-powered control of dynamic systems: Duality techniques. ACC 2018: 2675-2680
2017
[c16]
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Alyssa Kody, Jeffrey T. Scruggs:
Optimal packet scheduling for a piezoelectric energy harvesting node. CDC 2017: 133-138
2016
[c15]
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Takehiko Asai, Jeffrey T. Scruggs:
Nonlinear stochastic control of self-powered variable-damping vibration control systems. ACC 2016: 442-448
2015
[c14]
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Eric C. Warner, J. T. Scruggs:
Regeneratively-constrained LQG control of vibration networks with polytopic model uncertainty. CCA 2015: 1498-1504
[c13]
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Eric C. Warner, J. T. Scruggs:
Control of vibratory networks with passive and regenerative systems. ACC 2015: 5502-5508
2014
[c12]
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Michael B. Kane, Jeffrey T. Scruggs, Jerome P. Lynch:
Model-predictive control techniques for hydronic systems implemented on wireless sensor and actuator networks. ACC 2014: 3542-3547
2013
[c11]
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I. L. Cassidy, Wei Song, J. T. Scruggs:
Numerical solutions to optimal power-flow-constrained vibratory energy harvesting problems. ACC 2013: 4524-4529
2012
[c10]
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Philip S. Harvey, Jeffrey T. Scruggs, Henri P. Gavin:
A dual method for determining the performance limits of a semiactively constrained control system. ACC 2012: 1549-1554
[c9]
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Q. Li, J. T. Scruggs:
Asymptotic analysis of vector ARMA identification. CDC 2012: 3457-3462
2011
[c8]
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S. M. Lattanzio, J. T. Scruggs:
Maximum power generation of a wave energy converter in a stochastic environment. CCA 2011: 1125-1130
[c7]
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J. T. Scruggs:
Peak-gain-bounded design of constrained controllable damping in vibrating structures. ACC 2011: 2522-2527
[c6]
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J. T. Scruggs, Q. Li:
Passive network design for stochastic vibratory energy harvesters. CDC/ECC 2011: 3086-3091
2010
[c5]
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J. T. Scruggs:
Multi-objective nonlinear control of semiactive and regenerative systems. ACC 2010: 726-731
2009
[c4]
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Alexandros A. Taflanidis, Jeffrey T. Scruggs:
Probabilistically-robust performance optimization for controlled linear stochastic systems. ACC 2009: 4557-4562
[c3]
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Jeffrey T. Scruggs:
Analysis and synthesis of self-powered linear structural control with imperfect energy storage. ACC 2009: 4569-4574
2007
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J. T. Scruggs:
Multi-objective optimization of regenerative damping systems in vibrating structures. ACC 2007: 2672-2677
2006
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J. T. Scruggs, Robert E. Skelton:
Regenerative Tensegrity Structures for Energy Harvesting Applications. CDC 2006: 2282-2287

Informal and Other Publications

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2023
[i3]
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Connor H. Ligeikis, Jeffrey T. Scruggs:
Causal, Stochastic MPC for Wave Energy Converters. CoRR abs/2305.04094 (2023)
2022
[i2]
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  - journals/corr/abs-2212-05676
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Connor H. Ligeikis, Jeffrey T. Scruggs:
On the Feasibility of Self-Powered Linear Feedback Control. CoRR abs/2212.05676 (2022)
[i1]
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Connor H. Ligeikis, Jeffrey T. Scruggs:
Multi-Objective Vector Control of a Three-Phase Vibratory Energy Harvester. CoRR abs/2212.05683 (2022)

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