Eigenstructure assignment and controller optimization for mechanical systems. - Mark J. Schulz; Daniel J. Inman (IEEE Trans. Control. Syst. Technol., 1994)

Decentralized sliding mode control for flexible link robots. - Gordon G. Parker; Daniel J. Segalman; Rush D. Robinett III; Daniel J. Inman (J. Intell. Robotic Syst., 1996)

Online adaptive and neural network control of underwater vehicles. - Myung-Hyun Kim; Daniel J. Inman (Mobile Robots, 1999)

Experimental verification of intelligent fault detection in rotor blades. - J. Cattarius; Daniel J. Inman (Int. J. Syst. Sci., 2000)

Digital Wideband Excitation Technique for Impedance-Based Structural Health Monitoring Systems. - Jina Kim; Benjamin L. Grisso; Dong S. Ha 001; Daniel J. Inman (ISCAS, 2007)

Performance analysis of simplified Fuzzy ARTMAP and Probabilistic Neural Networks for identifying structural damage growth. - Mario A. de Oliveira; Daniel J. Inman (Appl. Soft Comput., 2017)

Kappa-PSO-FAN based method for damage identification on composite structural health monitoring. - Mario A. de Oliveira; Nelcileno V. S. Araujo; Daniel J. Inman; Jozue Vieira Filho (Expert Syst. Appl., 2018)

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data. - Osama Abdeljaber; Onur Avci; Mustafa Serkan Kiranyaz; Boualem Boashash; Henry Sodano; Daniel J. Inman (Neurocomputing, 2018)

A Novel Nonlinear Piezoelectric Energy Harvesting System Based on Linear-Element Coupling: Design, Modeling and Dynamic Analysis. - Shengxi Zhou; Bo Yan; Daniel J. Inman (Sensors, 2018)

1D Convolutional Neural Networks and Applications: A Survey. - Serkan Kiranyaz; Onur Avci; Osama Abdeljaber; Turker Ince; Moncef Gabbouj; Daniel J. Inman (CoRR, 2019)

A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications. - Onur Avci; Osama Abdeljaber; Serkan Kiranyaz; Mohammed Hussein; Moncef Gabbouj; Daniel J. Inman (CoRR, 2020)

Self-Programming Synaptic Resistor Circuit for Intelligent Systems. - Christopher M. Shaffer; Atharva Deo; Andrew Tudor; Rahul Shenoy; Cameron D. Danesh; Dhruva Nathan; Lawren L. Gamble; Daniel J. Inman; Yong Chen (Adv. Intell. Syst., 2021)

Autonomous Learning in a Pseudo-Episodic Physical Environment. - Kevin P. T. Haughn; Daniel J. Inman (J. Intell. Robotic Syst., 2022)

Deep reinforcement learning reveals fewer sensors are needed for autonomous gust alleviation. - Kevin P. T. Haughn; Christina Harvey; Daniel J. Inman (CoRR, 2023)

Sensory Adaptation in Biomolecular Memristors Improves Reservoir Computing Performance. - Joshua J. Maraj; Kevin P. T. Haughn; Daniel J. Inman; Stephen A. Sarles (Adv. Intell. Syst., 2023)