Temitayo Bankole

Biomimetic and Advanced Control Structure Design with Real Time Optimization

While numerous works exist in the area of control structure design from a holistic plantwide approach, this can be computationally intractable as process plants are typically characterized by a large number of variables which renders traditionally deployed process systems algorithms prohibitive. As parallelization and distributed computing become increasingly important and feasible, a method for structural analysis of plants which estimates connectivity strengths among various sub-processes making algorithms (including control structure design algorithms) amenable for distributed systems is proposed. In this project, analogy is drawn to the neuroscience literature where connectivity of neuronal population is established using data from magnetic resonance imaging. By using an input-state-output deterministic model for process systems and parameterizing this model to reflect connectivity and coupling, a Bayesian scheme is developed to estimate connectivity while incorporating priors. This connectivity is employed to subdivide an overall process into distinct islands for the purpose of control structure design. Consequently, for each island, a biomimetic multiagent approach stemming from the imitation of the central nervous system is deployed to coordinate and aggregate control structure design from each island for the overall process. This multiagent approach exploits coordination and communication found in nature to glean computational superiority. Additionally, this thesis addresses the controlled variable selection of a cyber physical system for optimal economic operation. Finally, a real time optimization and scheduling of advanced energy power plants with CO2 capture is developed and implemented. 

• Bankole T S, Bhattacharyya D, Pezzini P,  Gebreslassie B, Harun, N F, Tucker D,  Bryden, K M, “Multi-Objective Optimal Controlled Variable Selection for a Gas Turbine-Solid Oxide Fuel Cell System using a Multi-Agent Optimization Platform”, Industrial & Engineering Chemistry Research, 59, 20058-20070, 2020 

• Bankole S, Bhattacharyya D, Gebreslassie B, Diwekar U, “A Biomimetic Approach to Fast Selection of Optimal Controlled Variables Using Multiagent Algorithms and a Decomposition Approach”, Chemical Engineering Science, 203, 475-488, 2019 

• Bankole S, Bhattacharyya D, “Exploiting Connectivity Structures for Decomposing Process Plants”, Journal of Process Control, 71, 116-129, 2018 

• Bankole S, Jones D, Bhattacharyya D , Turton R,  Zitney S, “Optimal Scheduling and Its Lyapunov Stability for Advanced Load-Following Energy Plants with CO2 Capture”, Computers & Chemical Engineering, 109, 30-47, 2018 

• Bankole T S, Bhattacharyya D, Pezzini P, Bryden K, Tucker D, “Optimal Controlled Variable Selection for Cyber-Physical Systems”, Proceedings of the ASME 2018 Power & Energy Conference & Exhibition, Lake Buena Vista, Florida, USA, June 24-28, 2018 

• Bankole T S, Bhattacharyya D, “Algorithmic Development of Dynamic Causal Model for Process Plants”, Proceedings of the 2016 American Control Conference, 5038-5043, Boston Marriott Copley Place, Boston, USA, July 6-8, 2016 

• Bankole S, Bhattacharyya D, “Nonlinear Optimal Control Structure Design”, Paper 382h, AIChE Annual Meeting, Pittsburgh, PA, October 28-November 2, 2018 

• Bankole T S, Bhattacharyya D, Pezzini P, Bryden K, Tucker D, “Optimal Controlled Variable Selection for Cyber-Physical Systems”, ASME 2018 Power & Energy Conference & Exhibition, Lake Buena Vista, Florida, USA, June 24-28, 2018 

• Bankole T, Bhattacharyya D, Gebrelassie B, Diwekar U, “A Novel Biomimetic Approach To Self-Organizing, Optimal Control Structure Design”, Paper 12d, AIChE Annual Meeting, Minneapolis, MN, October 29-November 3, 2017 

• Bankole T, Mirlekar G, Al-sinbol G, Gebralassie B, Lima F V, Perhinschi M, Diwekar U, Turton R, Bhattacharyya D,  “Development of Biomimetic Approaches for Intelligent Control System Design, Monitoring and Optimization of Advanced Energy Systems”, Paper 188c, AIChE Annual Meeting, Minneapolis, MN, October 29-November 3, 2017 

• Bankole T, Pezzini P, Farida N, Bryden K M, Tucker D, Bhattacharyya D,  “Optimal Control Structure Design for Cyber-Physical Systems”, Paper 190c, AIChE Annual Meeting, Minneapolis, MN, October 29-November 3, 2017 

• Bankole T S, Jones D, Bhattacharyya D, Turton R, Zitney S E, “Optimal Scheduling of Advanced Energy Plants with CO2 Capture ”, Paper 158g, AIChE Annual Meeting, San Francisco, CA, November 13-18, 2016

• Bankole T S, Bhattacharyya D, “Algorithmic Development of Dynamic Causal Model for Process Plants”, 2016 American Control Conference, Boston Marriott Copley Place, Boston, USA, July 6-8, 2016

• Bankole T, Bhattacharyya D, “Exploiting Connectivity Structure for Online Selection of Primary Controlled Variables”, Paper 247d, AIChE Annual Meeting, San Francisco, CA, November 13-18, 2016