{"id":"https://openalex.org/G2010061944","display_name":"Intelligent Feedback Systems","description":"The theme of the proposed research is to advance                                the state of the art in the design of feedback                                  controllers.  This basic research will integrate                                concepts from deterministic and stochastic optimal                              control theory and intelligent control methodologies                            to arrive at superior intelligent feedback designs.                             More specifically it is proposed to utilize  neural                             network technology to implement the design of                                   optimal, robust, and adaptive nonlinear controllers                             in the presence of significant un certainty.  The                               emphasis will be on basic theoretical and                                       algorithmic results.  Specific research directions                              include the use of optimal control theory as a                                  means for training artificial neural network                                    implementations of linear, nonlinear, and adaptive                              controllers.  One approach will involve the use of                              numerical data from the solution of the Two-Point-                              Boundary-Value (TPBV) problem arising from the                                  application of the Pontryagin Maximum Principle to                              firs train artificial neural network feedback                                   controllers and then evaluate their performance.  In                            particular, we shall examine whether Cerebellar                                 Motion Articulated Controller (CMAC) structures                                 can be viewed from  this perspective.  In the                                   beginning phase we plan to use bang-bang time-                                  optimal nonlinear controllers for low order systems                             and investigate the degree that a trained multi-layer                           neural network approximates the switching curves                                and surfaces associated with these bang-bang                                    controllers.","funder_award_id":"9216531","funder":{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","doi":"https://doi.org/10.13039/100000001"},"funded_outputs":["https://openalex.org/W2011277999","https://openalex.org/W2147750403","https://openalex.org/W2165131254","https://openalex.org/W2169982856","https://openalex.org/W4233061323","https://openalex.org/W4246744641","https://openalex.org/W7005961664","https://openalex.org/W7026719552","https://openalex.org/W7038583555"],"funded_outputs_count":9,"parent_awards":[],"sub_awards":[],"sub_awards_count":0,"amount":200000.0,"currency":"USD","amount_usd":200000.0,"amount_usd_basis":"usd_native","recipients":[],"recipient_countries":[],"recipient_regions":[],"research_scope":{"is_research":true,"basis":"funder_default","tier":1},"funding_type":"grant","funder_scheme":"Standard Grant","start_date":"1992-09-15","end_date":"1996-10-31","start_year":1992,"end_year":1996,"landing_page_url":"https://www.nsf.gov/awardsearch/showAward?AWD_ID=9216531","doi":null,"provenance":"nsf_award_search","lead_investigator":{"given_name":"Michael","family_name":"Athans","orcid":null,"role_start":null,"affiliation":{"name":"Massachusetts Institute of Technology","country":"United States","ids":null},"author":{"id":"https://openalex.org/A5079459967","display_name":"Michael Athans","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}]},"co_lead_investigator":null,"investigators":[{"given_name":"John","family_name":"Tsitsiklis","orcid":null,"role_start":null,"affiliation":null,"author":{"id":"https://openalex.org/A5108523422","display_name":"John N. Tsitsiklis","orcid":"https://orcid.org/0000-0003-2658-8239"},"institutions":null}],"works_api_url":"https://api.openalex.org/works?filter=awards.id:G2010061944","primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.7368,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.7368,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.091,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.0622,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neural-network-controller","display_name":"neural network controller","score":0.795},{"id":"https://openalex.org/keywords/optimal-control","display_name":"optimal control","score":0.891},{"id":"https://openalex.org/keywords/robust-control","display_name":"robust control","score":0.914},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"adaptive control","score":0.822},{"id":"https://openalex.org/keywords/nonlinear-control","display_name":"nonlinear control","score":0.866},{"id":"https://openalex.org/keywords/two-point-boundary-value-problems","display_name":"two-point boundary value problems","score":0.746},{"id":"https://openalex.org/keywords/pontryagin-s-maximum-principle","display_name":"Pontryagin maximum principle","score":0.987},{"id":"https://openalex.org/keywords/bang-bang-control","display_name":"bang-bang control","score":0.827},{"id":"https://openalex.org/keywords/time-optimal-control","display_name":"time-optimal control","score":0.825},{"id":"https://openalex.org/keywords/switching-curves","display_name":"switching curves","score":0.639}],"sustainable_development_goals":[],"institution_awarded":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"updated_date":"2026-11-13T03:01:57.000Z","created_date":"2026-07-13T04:41:43.000Z"}