{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/101187"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/101187","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"State analysis modeling program","abstract":"Modern day control systems, utilizing a digital computer, contain samplers as well as linear and nonlinear elements. State space techniques are the best means for analyzing systems of this type. SAMP (State Analysis Modeling Program, SAMPler), a digital computer program, uses these techniques in order to provide the following: 1. SAMP is capable of analyzing a system containing integrators, summing junctions, fixed gain terms, samplers, and a variety of nonlinearities. 2. Samplers can be the zero order hold type or the finite width type. They can operate at different rates. 3. A novel feature of this program is utilizing a high speed sampler for simulation of nonlinearities. 4. SAMP's inputs are essentially the matrices required for a state space analysis. They include the system coefficient matrix (A), the state transition matrix (B), the initial state vector (W), and a novel specification matrix (C). S. The program contains built in diagnostics designed to aid the user troubleshoot his program setup. 6. Primary program output is a print/plot of any state variable versus time. If selected the status of all state variables versus time will be printed. 7. SAMP contains a built in example designed to aid the user understand program operation.","abstract_html":"Modern day control systems, utilizing a digital computer, contain samplers as well as linear and nonlinear elements. State space techniques are the best means for analyzing systems of this type. SAMP (State Analysis Modeling Program, SAMPler), a digital computer program, uses these techniques in order to provide the following: 1. SAMP is capable of analyzing a system containing integrators, summing junctions, fixed gain terms, samplers, and a variety of nonlinearities. 2. Samplers can be the zero order hold type or the finite width type. They can operate at different rates. 3. A novel feature of this program is utilizing a high speed sampler for simulation of nonlinearities. 4. SAMP's inputs are essentially the matrices required for a state space analysis. They include the system coefficient matrix (A), the state transition matrix (B), the initial state vector (W), and a novel specification matrix (C). S. The program contains built in diagnostics designed to aid the user troubleshoot his program setup. 6. Primary program output is a print/plot of any state variable versus time. If selected the status of all state variables versus time will be printed. 7. SAMP contains a built in example designed to aid the user understand program operation.","abstract_has_math":false,"creators":["Kuelz, Emil"],"institution":"Virginia Polytechnic Institute and State University","degree_name":"M.S.","degree_level":"masters","degree_discipline":"Electrical Engineering","degree_department":"Electrical Engineering","school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1970,"date_issued":"1970","date_published":"1970","updated_at":"2026-07-22T22:20:08Z","subjects":[],"languages":["en"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10919/101187","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.department","label":"Department","values":["Electrical Engineering"]},{"key":"dc:creator","label":"Author","values":["Kuelz, Emil"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2020-12-14T16:34:45Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2020-12-14T16:34:45Z"]},{"key":"dc:date.issued","label":"Date","values":["1970"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Polytechnic Institute and State University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.dcmitype","label":"Dc Type Dcmitype","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/101187"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Modern day control systems, utilizing a digital computer, contain samplers as well as linear and nonlinear elements. State space techniques are the best means for analyzing systems of this type. SAMP (State Analysis Modeling Program, SAMPler), a digital computer program, uses these techniques in order to provide the following: 1. SAMP is capable of analyzing a system containing integrators, summing junctions, fixed gain terms, samplers, and a variety of nonlinearities. 2. Samplers can be the zero order hold type or the finite width type. They can operate at different rates. 3. A novel feature of this program is utilizing a high speed sampler for simulation of nonlinearities. 4. SAMP's inputs are essentially the matrices required for a state space analysis. They include the system coefficient matrix (A), the state transition matrix (B), the initial state vector (W), and a novel specification matrix (C). S. The program contains built in diagnostics designed to aid the user troubleshoot his program setup. 6. Primary program output is a print/plot of any state variable versus time. If selected the status of all state variables versus time will be printed. 7. SAMP contains a built in example designed to aid the user understand program operation."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.S."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["State analysis modeling program"]}]}],"canonical_facts":{"dc:contributor.department":["Electrical Engineering"],"dc:creator":["Kuelz, Emil"],"dc:date.accessioned":["2020-12-14T16:34:45Z"],"dc:date.available":["2020-12-14T16:34:45Z"],"dc:date.issued":["1970"],"dc:description.abstract":["Modern day control systems, utilizing a digital computer, contain samplers as well as linear and nonlinear elements. State space techniques are the best means for analyzing systems of this type. SAMP (State Analysis Modeling Program, SAMPler), a digital computer program, uses these techniques in order to provide the following: 1. SAMP is capable of analyzing a system containing integrators, summing junctions, fixed gain terms, samplers, and a variety of nonlinearities. 2. Samplers can be the zero order hold type or the finite width type. They can operate at different rates. 3. A novel feature of this program is utilizing a high speed sampler for simulation of nonlinearities. 4. SAMP's inputs are essentially the matrices required for a state space analysis. They include the system coefficient matrix (A), the state transition matrix (B), the initial state vector (W), and a novel specification matrix (C). S. The program contains built in diagnostics designed to aid the user troubleshoot his program setup. 6. Primary program output is a print/plot of any state variable versus time. If selected the status of all state variables versus time will be printed. 7. SAMP contains a built in example designed to aid the user understand program operation."],"dc:description.degree":["M.S."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/10919/101187"],"dc:language.iso":["en"],"dc:publisher":["Virginia Polytechnic Institute and State University"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:title":["State analysis modeling program"],"dc:type":["Thesis"],"dc:type.dcmitype":["Text"],"thesis:degree_discipline":["Electrical Engineering"],"thesis:degree_level":["masters"],"thesis:degree_name":["M.S."],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:20:08Z"}