A method to determine the required number of neural-network training repetitions. - Mahesh S. Iyer; R. Russell Rhinehart (IEEE Trans. Neural Networks, 1999)

A novel method to stop neural network training. - Mahesh S. Iyer; R. Russell Rhinehart (ACC, 2000)

Heuristic random optimizer-version II. - Sandeep Chandran; R. Russell Rhinehart (ACC, 2002)

On-line optimization of a batch reaction - development and experimental demonstration. - S. Samir Alam; R. Russell Rhinehart; Karen A. High; Paul J. Gemperline (ACC, 2004)

Theory vs. practice: The challenges from industry. - Zhiqiang Gao; R. Russell Rhinehart (ACC, 2004)

A controller performance monitor. - Samuel O. Owusu; R. Russell Rhinehart (ACC, 2004)

Autonomous creation of process cause and effect relationships: metrics for evaluation of the goodness of linguistic rules. - Nitin Sharma; R. Russell Rhinehart (ACC, 2004)

Run length-based control performance monitors: a comparison between two techniques. - Samuel O. Owusu; Qing Li; R. Russell Rhinehart (ACC, 2005)

A novel termination criterion for optimization. - Venkatram Padmanabhan; R. Russell Rhinehart (ACC, 2005)

Assessment of linguistic dynamic cause-and-effect rules with delays. - Ming Su; R. Russell Rhinehart (ACC, 2009)

A novel rule antecedent structure and its identification for fuzzy models. - Ming Su; R. Russell Rhinehart (ACC, 2009)

Recursive estimation on spatially rearranged data for dynamic order determination and nonlinear component detection. - Ming Su; R. Russell Rhinehart (ACC, 2009)

Ga-Based Time Series Models with Threshold in Two Domains. - Ming Su; Gary G. Yen; R. Russell Rhinehart (J. Circuits Syst. Comput., 2009)

A generalized TSK model with a novel rule antecedent structure: Structure identification and parameter estimation. - Ming Su; R. Russell Rhinehart (Comput. Chem. Eng., 2010)

Incorporation of a generalized TSK model in nonlinear model predictive control. - Haoxian Chen 003; R. Russell Rhinehart (ACC, 2012)

Leapfrogging and synoptic Leapfrogging: A new optimization approach. - R. Russell Rhinehart; Ming Su; Upasana Manimegalai-Sridhar (Comput. Chem. Eng., 2012)

Steady state and Transient State Identification for flow rate on a pilot-scale absorption column. - Ting Huang; R. Russell Rhinehart (ACC, 2013)

Automated steady and transient state identification in noisy processes. - R. Russell Rhinehart (ACC, 2013)

Improved initialization of players in leapfrogging optimization. - Upasana Manimegalai-Sridhar; Anand Govindarajan; R. Russell Rhinehart (Comput. Chem. Eng., 2014)

Convergence criterion in optimization of stochastic processes. - R. Russell Rhinehart (Comput. Chem. Eng., 2014)

Modeling & control policy optimization of algae growth. - Suresh K. Jayaraman; R. Russell Rhinehart (ACC, 2015)

Industry engagement with control research: Perspective and messages. - Tariq Samad; Margret Bauer; Scott A. Bortoff; Stefano Di Cairano; Lorenzo Fagiano; Peter Fogh Odgaard; R. Russell Rhinehart; Ricardo S. Sánchez Peña; Atanas Serbezov; Finn Ankersen; Philippe Goupil; Benyamin Grosman; et al. (Annu. Rev. Control., 2020)

Optimization with uncertainty - A case study for controller recalibration. - Stephen M. Mayo; R. Russell Rhinehart; Sundar V. Madihally (Comput. Chem. Eng., 2020)

A Heat Exchanger Simulator for Testing and Demonstrating Automation Algorithms. - R. Russell Rhinehart (ACC, 2022)

Managerial Decision Making as an Application for Control Science and Engineering. - Tariq Samad; Daniel Y. Abramovitch; Michael Lees; Iven Mareels; R. Russell Rhinehart; Francesco Cuzzola; Benny Grosman; Oleg Gusikhin; Esko Juuso; Bhagyesh V. Patil; Stefan Pickl (ACC, 2022)

Linguistic Modeling: Validation, Improvement, and Uncertainty. - R. Russell Rhinehart (ACC, 2024)

Operational Optimization and Control of a Parabolic Trough Collector Solar Field for Power Generation. - Luis José Yebra; R. Russell Rhinehart (ACC, 2025)