{"id":"https://openalex.org/W7165688982","doi":"https://doi.org/10.1109/icps70486.2026.11567974","title":"The Agentic Control Framework: Integrating Knowledge Graph Retrieval and Game-Theoretic Multi-Agent Learning for Robust Process Design","display_name":"The Agentic Control Framework: Integrating Knowledge Graph Retrieval and Game-Theoretic Multi-Agent Learning for Robust Process Design","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7165688982","doi":"https://doi.org/10.1109/icps70486.2026.11567974"},"language":"en","primary_location":{"id":"doi:10.1109/icps70486.2026.11567974","doi":"https://doi.org/10.1109/icps70486.2026.11567974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icps70486.2026.11567974","pdf_url":null,"source":{"id":"https://openalex.org/S7407088820","display_name":"IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 9th International Conference on Industrial Cyber-Physical Systems (ICPS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/icps70486.2026.11567974","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125539513","display_name":"Ricardo Rodrigues","orcid":"https://orcid.org/0000-0001-7986-3754","observed_orcids":["https://orcid.org/0000-0001-7986-3754"]},"institutions":[{"id":"https://openalex.org/I4405256586","display_name":"DTX Digital Transformation CoLAB","ror":"https://ror.org/04aykk734","country_code":"PT","type":"other","lineage":["https://openalex.org/I4405256586"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ricardo Rodrigues","raw_affiliation_strings":["DTx - Digital Transformation CoLab,Guimar\u00e3es,Portugal,4800-058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DTx - Digital Transformation CoLab,Guimar\u00e3es,Portugal,4800-058","institution_ids":["https://openalex.org/I4405256586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122028279","display_name":"Ali Abbasi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405256586","display_name":"DTX Digital Transformation CoLAB","ror":"https://ror.org/04aykk734","country_code":"PT","type":"other","lineage":["https://openalex.org/I4405256586"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ali Abbasi","raw_affiliation_strings":["DTx - Digital Transformation CoLab,Guimar\u00e3es,Portugal,4800-058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DTx - Digital Transformation CoLab,Guimar\u00e3es,Portugal,4800-058","institution_ids":["https://openalex.org/I4405256586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102632684","display_name":"Shimasadat Hosseini","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99682543","display_name":"University of Minho","ror":"https://ror.org/037wpkx04","country_code":"PT","type":"education","lineage":["https://openalex.org/I99682543"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Shimasadat Hosseini","raw_affiliation_strings":["University of Minho,School of Engineering,Guimar\u00e3es,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minho,School of Engineering,Guimar\u00e3es,Portugal","institution_ids":["https://openalex.org/I99682543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139176837","display_name":"M. C. Nuno Da Costa","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405256586","display_name":"DTX Digital Transformation CoLAB","ror":"https://ror.org/04aykk734","country_code":"PT","type":"other","lineage":["https://openalex.org/I4405256586"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"M. C. Nuno Da Costa","raw_affiliation_strings":["DTx - Digital Transformation CoLab,Guimar\u00e3es,Portugal,4800-058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DTx - Digital Transformation CoLab,Guimar\u00e3es,Portugal,4800-058","institution_ids":["https://openalex.org/I4405256586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135489906","display_name":"Duarte Fernandes","orcid":"https://orcid.org/0009-0005-6714-9103","observed_orcids":["https://orcid.org/0009-0005-6714-9103"]},"institutions":[{"id":"https://openalex.org/I4405256586","display_name":"DTX Digital Transformation CoLAB","ror":"https://ror.org/04aykk734","country_code":"PT","type":"other","lineage":["https://openalex.org/I4405256586"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Duarte Fernandes","raw_affiliation_strings":["DTx - Digital Transformation CoLab,Guimar\u00e3es,Portugal,4800-058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DTx - Digital Transformation CoLab,Guimar\u00e3es,Portugal,4800-058","institution_ids":["https://openalex.org/I4405256586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.4124000072479248,"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"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.4124000072479248,"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.2888000011444092,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0681999996304512,"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/robust-control","display_name":"robust control","score":0.6439999938011169},{"id":"https://openalex.org/keywords/zero-sum-games","display_name":"zero-sum games","score":0.7300000190734863},{"id":"https://openalex.org/keywords/knowledge-graph-retrieval","display_name":"knowledge graph retrieval","score":0.7570000290870667},{"id":"https://openalex.org/keywords/llm-based-agents","display_name":"LLM agents","score":0.7599999904632568},{"id":"https://openalex.org/keywords/digital-twin","display_name":"digital twin","score":0.6639999747276306},{"id":"https://openalex.org/keywords/model-reduction","display_name":"model reduction","score":0.7990000247955322},{"id":"https://openalex.org/keywords/proximal-policy-optimization","display_name":"proximal policy optimization","score":0.8169999718666077},{"id":"https://openalex.org/keywords/adversarial-robustness","display_name":"adversarial robustness","score":0.7129999995231628},{"id":"https://openalex.org/keywords/h-infinity-synthesis","display_name":"H-infinity synthesis","score":0.8600000143051147},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.8100000023841858},{"id":"https://openalex.org/keywords/process-design","display_name":"process design","score":0.6370000243186951},{"id":"https://openalex.org/keywords/model-uncertainty","display_name":"model uncertainty","score":0.6549999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6462000012397766},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47279998660087585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4487000107765198},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31700000166893005},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.2922999858856201},{"id":"https://openalex.org/C55396564","wikidata":"https://www.wikidata.org/wiki/Q3084971","display_name":"Process design","level":3,"score":0.27730000019073486},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C48262172","wikidata":"https://www.wikidata.org/wiki/Q16908765","display_name":"Design process","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.25270000100135803},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icps70486.2026.11567974","doi":"https://doi.org/10.1109/icps70486.2026.11567974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icps70486.2026.11567974","pdf_url":null,"source":{"id":"https://openalex.org/S7407088820","display_name":"IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 9th International Conference on Industrial Cyber-Physical Systems (ICPS)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icps70486.2026.11567974","doi":"https://doi.org/10.1109/icps70486.2026.11567974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icps70486.2026.11567974","pdf_url":null,"source":{"id":"https://openalex.org/S7407088820","display_name":"IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 9th International Conference on Industrial Cyber-Physical Systems (ICPS)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2991046523","https://openalex.org/W3023586494","https://openalex.org/W4283797804","https://openalex.org/W4390692489","https://openalex.org/W4403730099","https://openalex.org/W4411119292"],"related_works":["https://openalex.org/W7214018869","https://openalex.org/W4239624311","https://openalex.org/W4402109574","https://openalex.org/W7159805689","https://openalex.org/W7196936535","https://openalex.org/W2804258568","https://openalex.org/W80165615","https://openalex.org/W6982811796","https://openalex.org/W2891179070","https://openalex.org/W7098820856"],"abstract_inverted_index":{"The":[0,48],"realization":[1],"of":[2,12],"resilient":[3],"autonomous":[4],"systems":[5],"is":[6],"currently":[7],"impeded":[8],"by":[9],"the":[10,30,100,146,182],"difficulty":[11],"translating":[13],"abstract":[14],"design":[15,67],"requirements":[16],"into":[17],"verifiable":[18],"control":[19,72,102,158,187],"policies":[20],"that":[21,38,58,145,154,163,174],"can":[22],"withstand":[23],"significant":[24],"model":[25],"uncertainty.":[26],"Here":[27],"we":[28,98],"present":[29],"Agentic":[31],"Control":[32],"Framework,":[33],"a":[34,52,60,78,84,105,116],"full-stack":[35],"neuro-symbolic":[36],"architecture":[37],"unifies":[39],"semantic":[40],"reasoning":[41],"with":[42,51],"game-theoretic":[43,169],"hardening":[44],"to":[45,64,149],"maximize":[46],"robustness.":[47],"workflow":[49],"initiates":[50],"Large":[53],"Language":[54],"Model":[55,87],"(LLM)-based":[56],"agent":[57],"leverages":[59],"domainspecific":[61],"Knowledge":[62],"Graph":[63],"comprehend":[65],"unstructured":[66],"specifications":[68,76],"and":[69,140,188],"retrieve":[70],"optimal":[71],"constraints.":[73],"These":[74],"formal":[75],"characterize":[77],"high-fidelity":[79],"Digital":[80],"Twin,":[81],"which":[82],"incorporates":[83],"Reduced":[85],"Order":[86],"(ROM)":[88],"integrated":[89],"via":[90],"Runge-Kutta":[91],"(RK4)":[92],"methods.":[93],"Within":[94],"this":[95,133],"adaptive":[96,189],"environment,":[97],"solve":[99],"robust":[101,157,186],"problem":[103],"as":[104],"multi-agent":[106],"zero-sum":[107],"differential":[108],"game":[109],"using":[110],"Deep":[111],"Reinforcement":[112],"Learning":[113],"(DRL),":[114],"where":[115],"stabilizing":[117],"Proximal":[118],"Policy":[119],"Optimization":[120],"(PPO)":[121],"policy":[122],"competes":[123],"against":[124,136],"an":[125,150],"adversary":[126],"injecting":[127],"worst-case":[128],"stochastic":[129],"disturbances.":[130],"We":[131],"benchmark":[132],"adversarial":[134],"formulation":[135],"classical":[137],"$H_{\\infty}$":[138],"synthesis":[139],"standard":[141],"Vanilla":[142],"PPO,":[143],"demonstrating":[144],"system":[147],"converges":[148],"empirical":[151],"Nash":[152],"Equilibrium":[153],"rivals":[155],"theoretical":[156,185],"baselines.":[159],"Our":[160],"results":[161],"indicate":[162],"grounding":[164],"agentic":[165],"comprehension":[166],"in":[167],"rigorous":[168],"training":[170],"produces":[171],"self-organizing":[172],"controllers":[173],"maintain":[175],"operational":[176],"stability":[177],"under":[178],"severe":[179],"uncertainty,":[180],"bridging":[181],"gap":[183],"between":[184],"autonomy.":[190]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-06-24T00:00:00"}