Regenerative Tensegrity Structures for Energy Harvesting Applications. - J. T. Scruggs; Robert E. Skelton (CDC, 2006)

Multi-objective optimization of regenerative damping systems in vibrating structures. - J. T. Scruggs (ACC, 2007)

Analysis and synthesis of self-powered linear structural control with imperfect energy storage. - Jeffrey T. Scruggs (ACC, 2009)

Probabilistically-robust performance optimization for controlled linear stochastic systems. - Alexandros A. Taflanidis; Jeffrey T. Scruggs (ACC, 2009)

Multi-objective nonlinear control of semiactive and regenerative systems. - J. T. Scruggs (ACC, 2010)

Maximum power generation of a wave energy converter in a stochastic environment. - S. M. Lattanzio; J. T. Scruggs (CCA, 2011)

Peak-gain-bounded design of constrained controllable damping in vibrating structures. - J. T. Scruggs (ACC, 2011)

Passive network design for stochastic vibratory energy harvesters. - J. T. Scruggs; Q. Li (CDC/ECC, 2011)

A dual method for determining the performance limits of a semiactively constrained control system. - Philip S. Harvey; Jeffrey T. Scruggs; Henri P. Gavin (ACC, 2012)

Asymptotic analysis of vector ARMA identification. - Q. Li; J. T. Scruggs (CDC, 2012)

Numerical solutions to optimal power-flow-constrained vibratory energy harvesting problems. - I. L. Cassidy; Wei Song; J. T. Scruggs (ACC, 2013)

Model-predictive control techniques for hydronic systems implemented on wireless sensor and actuator networks. - Michael B. Kane; Jeffrey T. Scruggs; Jerome P. Lynch (ACC, 2014)

Regeneratively-constrained LQG control of vibration networks with polytopic model uncertainty. - Eric C. Warner; J. T. Scruggs (CCA, 2015)

Control of vibratory networks with passive and regenerative systems. - Eric C. Warner; J. T. Scruggs (ACC, 2015)

Disturbance-adaptive stochastic optimal control of energy harvesters, with application to ocean wave energy conversion. - Jeff T. Scruggs; Rudy Nie (Annu. Rev. Control., 2015)

Nonlinear stochastic control of self-powered variable-damping vibration control systems. - Takehiko Asai; Jeffrey T. Scruggs (ACC, 2016)

Optimal packet scheduling for a piezoelectric energy harvesting node. - Alyssa Kody; Jeffrey T. Scruggs (CDC, 2017)

Optimal self-powered control of dynamic systems: Duality techniques. - Alyssa Kody; Jeffrey T. Scruggs (ACC, 2018)

Hybrid Control of Vibratory Networks with Semiresonant Latches. - Jeffrey T. Scruggs; Brenden S. Ritola (ACC, 2018)

Development of a Scalable Distributed Model Predictive Control System for Hydronic Networks with Bilinear and Hybrid Dynamics. - Michael B. Kane; Jerome P. Lynch; Jeff T. Scruggs (J. Comput. Civ. Eng., 2018)

Model Predictive Control of a Wave Energy Converter Using Duality Techniques. - Alyssa Kody; Nathan Tom; Jeffrey T. Scruggs (ACC, 2019)

A new passivity-based nonlinear causal control technique for wave energy converters with finite stroke. - Jeffrey T. Scruggs; Yejun Lao (ACC, 2019)

Non-linear Model Predictive Control of Wave Energy Converters with Realistic Power Take-off Configurations and Loss Model. - Anantha Karthikeyan; Mirko Previsic; Jeffrey T. Scruggs; A. Chertok (CCTA, 2019)

A Modified Technique for Spectral Factorization of Infinite-Dimensional Systems Using Subspace Techniques. - Yejun Lao; Jeffrey T. Scruggs (CDC, 2019)

Robust Control of Wave Energy Converters Using Unstructured Uncertainty. - Yejun Lao; Jeffrey T. Scruggs (ACC, 2020)

Nonlinear control of passive vibratory systems with finite actuation stroke. - Yejun Lao; Jeffrey T. Scruggs (Autom., 2020)

Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition. - Jize Zhang; Alexandros A. Taflanidis; Jeffrey T. Scruggs (J. Comput. Phys., 2020)

Control of Impulsively Excited Vibration Energy Harvesters: Design and Viability Assessment. - Alyssa Kody; Jeffrey T. Scruggs (IEEE Trans. Control. Syst. Technol., 2020)

Nonlinear Feedback Controllers for Self-Powered Systems with Non-Ideal Energy Storage Subsystems. - Connor Ligeikis; Jeff T. Scruggs (ACC, 2021)

Feasibility and Synthesis of Finite-Dimensional, Linear Time-Invariant Synthetic Admittances for Self-Powered Systems. - Connor Ligeikis; Jeff T. Scruggs (CDC, 2021)

Discrete-Time, Performance-Guaranteed Control of Vibratory Systems with Power Directionality Constraints. - Connor Ligeikis; Jeff T. Scruggs (ACC, 2022)

An LQG-Inspired Framework for Self-Powered Feedback Control. - Connor Ligeikis; Jeff T. Scruggs (CDC, 2022)

Multi-Objective Vector Control of a Three-Phase Vibratory Energy Harvester. - Connor H. Ligeikis; Jeffrey T. Scruggs (CoRR, 2022)

MPC Trajectory Feasibility Constraints for Self-Powered Control Systems. - Alyssa Kody; Jeffrey T. Scruggs (IEEE Trans. Autom. Control., 2022)

Discrete-Time Causal Control of a Wave Energy Converter With Finite Stroke in Stochastic Waves. - Yejun Lao; Jeffrey T. Scruggs; Anantha Karthikeyan; Mirko Previsic (IEEE Trans. Control. Syst. Technol., 2022)

Necessary Conditions for Feasibility of Linear, Time-Invariant Self-Powered Feedback Control Laws. - Jeff T. Scruggs; Connor Ligeikis (ACC, 2023)

Risk-Sensitive Control of Vibratory Energy Harvesters. - Connor Ligeikis; Jeff T. Scruggs (CDC, 2023)

Global Stabilization of Nash Equilibrium for Mixed Traffic. - Jeffrey T. Scruggs; Richard Lee; Yafeng Yin 001 (ACC, 2024)

On the Feasibility of Self-Powered Linear Feedback Control. - Connor H. Ligeikis; Jeffrey T. Scruggs (IEEE Trans. Autom. Control., 2024)

Causal, Stochastic MPC for Wave Energy Converters. - Connor H. Ligeikis; Jeffrey T. Scruggs (IEEE Trans. Control. Syst. Technol., 2024)

Multiobjective Vector Control of a Three-Phase Vibratory Energy Harvester. - Connor H. Ligeikis; Jeffrey T. Scruggs (IEEE Trans. Control. Syst. Technol., 2024)

Discrete-Time Stabilization of Nash Equilibrium for Mixed Traffic Routing. - Richard Lee; Jeffrey T. Scruggs; Yafeng Yin 001 (ACC, 2025)

Optimal control of self-powered systems using convex-concave MPC. - Madelyn Veurink; Jeffrey T. Scruggs (ACC, 2025)

MPC for Self-Powered Systems With Distributed Energy Storage. - Madelyn Veurink; Jeffrey T. Scruggs (IEEE Control. Syst. Lett., 2025)

Optimal ℍ2 Control with Passivity-Constrained Feedback: Convex Approach. - J. T. Scruggs (CoRR, 2025)