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Mai 2015", "year": "2015", "url": "", "author": [ "Katharina Frey","Krzysztof Rudion","Jochen Christian" ], "authors": [ {"first" : "Katharina", "last" : "Frey"}, {"first" : "Krzysztof", "last" : "Rudion"}, {"first" : "Jochen", "last" : "Christian"} ], "eventtitle" : "CIGRE International Symposium: Across Borders \u2013 HVDC Systems and Market Integration, Lund, Schweden, 26.-27. Mai 2015", "venue" : "Lund, Schweden", "language" : "eng", "eventdate" : "2015-05-26/2015-05-27", "bibtexKey": "frey2015optimal" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/264f8c6bf9c4cb5f8cc76f55a80e3746a/annettegugel", "tags" : [ "Constraintssend:unibiblio","Energy","Future","Management","Microgrids","Operating","Optimal","System","Tight" ], "intraHash" : "64f8c6bf9c4cb5f8cc76f55a80e3746a", "interHash" : "f3959fea36c4a8c64eaa234fe8e63447", "label" : "Optimal energy management system for future microgrids with tight operating constraints", "user" : "annettegugel", "description" : "", "date" : "2020-04-20 14:16:59", "changeDate" : "2020-04-20 12:16:59", "count" : 1, "pub-type": "conference", "booktitle": "12th International Conference on the European Energy Market (EEM), Lissabon, Portugal, May 19-22, 2015, session S20","publisher":"IEEE","address":"Piscataway, NJ", "year": "2015", "url": "", "author": [ "Mohsen Nemati","T. Zoeller","H. Müller","L. Tao","Martin Braun","Stefan Tenbohlen" ], "authors": [ {"first" : "Mohsen", "last" : "Nemati"}, {"first" : "T.", "last" : "Zoeller"}, {"first" : "H.", "last" : "Müller"}, {"first" : "L.", "last" : "Tao"}, {"first" : "Martin", "last" : "Braun"}, {"first" : "Stefan", "last" : "Tenbohlen"} ], "venue" : "Lissabon, Portugal", "isbn" : "978-1-4673-6693-9 and 978-1-4673-6691-5 and 978-1-4673-6692-2", "language" : "eng", "eventdate" : "2015-05-19/2015-05-22", "eventtitle" : "12th International Conference on the European Energy Market (EEM)", "bibtexKey": "nemati2015optimal" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/270cd658f5aeddea66235eee1a073bec1/mgeiger", "tags" : [ "Actuators,","Controllability,","Damping,","Eigenvalues","Gramian,","Gramian-based","Mathematical","Measurement,","Optimization,","active","actuator","actuators,","adaptive","algebra,","and","control","control,","controllability","controllability,","criterion,","damping,","eigenfunctions,","engineering","external","externally","high-rise","induced","loads,","matrix","model,","models,","modes","modification,","optimal","optimisation,","optimization","order","placement,","reduced","reduction,","response","spillover","spillover,","structure,","structures,","supports,","systems,","truss","vibration","vibrations," ], "intraHash" : "70cd658f5aeddea66235eee1a073bec1", "interHash" : "53ad49f8e25468c63611b703749d7cd3", "label" : "Gramian-based actuator placement with spillover reduction for active damping of adaptive structures", "user" : "mgeiger", "description" : "", "date" : "2019-11-08 16:11:00", "changeDate" : "2019-11-08 15:14:53", "count" : 5, "pub-type": "inproceedings", "booktitle": "2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), July 3-7, 2017, Munich", "year": "2017", "url": "", "author": [ "Michael Heidingsfeld","Philipp Rapp","Michael Böhm","Oliver Sawodny" ], "authors": [ {"first" : "Michael", "last" : "Heidingsfeld"}, {"first" : "Philipp", "last" : "Rapp"}, {"first" : "Michael", "last" : "Böhm"}, {"first" : "Oliver", "last" : "Sawodny"} ], "pages": "904--909","abstract": "Adaptive structures are engineering structures with the ability to modify their response to external loads. This includes active damping of externally induced vibrations. The controller design is usually based on reduced order models that comprise the most important vibration modes of the structure. This can lead to unwanted excitation of the neglected modes, known as control spillover. One means to cope with this problem is by proper placement of the actuators. In this contribution, we present a method for optimal actuator placement for active damping of adaptive structures that explicitly considers spillover effects by optimizing the trade-off between controllability of the considered and neglected modes. The optimization criterion is based on the controllability Gramian. Under certain conditions, the globally optimal solution can be found. The proposed method is applied to a numerical example of a high-rise truss structure.", "doi" : "10.1109/AIM.2017.8014133", "bibtexKey": "heidingsfeld_gramian-based_2017" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2aff6f09c8d42df4861ce6c90540d2ba8/thomasrichter", "tags" : [ "JPEG","Optimal","Quantization","Quantization,","Rate-Distortion","XR!!," ], "intraHash" : "aff6f09c8d42df4861ce6c90540d2ba8", "interHash" : "95c1969b1a1b6bdc1d7a31ca7c6eecc1", "label" : "Deadzone Based Rate Allocation for JPEG XR", "user" : "thomasrichter", "description" : "", "date" : "2016-03-10 09:18:49", "changeDate" : "2016-03-10 08:20:00", "count" : 3, "pub-type": "inproceedings", "booktitle": "Data Compression Conference (DCC), 2011","publisher":"IEEE","address":"Snowbird, UT", "year": "2011", "url": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5749531", "author": [ "Thomas Richter" ], "authors": [ {"first" : "Thomas", "last" : "Richter"} ], "pages": "474","abstract": "Similar to the JPEG image compression standard, the JPEG XR image\ncompression solely controls the image quality loss and hence the output rate\nby means of the quantizer bucket sizes; a precise rate control mechanism\nlike the EBCOT rate allocation algorithm in JPEG 2000 is not specified, and\nhence rate-distortion optimality of the quantizer is, in general, not given.\n\nIn this work, a simple rate-control mechanism for JPEG XR is introduced that\nallows an efficient control of the quantizer towards rate-distortion\noptimality. One possibility to implement this quantizer control would be to\nuse the spatial variable quantization feature of JPEG XR, but it was seen in\nan earlier work that the additional side information required to transmit\nthe quantization setting almost compensates the PSNR gain of variable\nquantization and complicates the rate allocation process by requiring an\nadditional quantizer allocation step.\n\nHowever, while JPEG XR defines the image reconstruction process completely,\nan encoder still has the freedom to select the deadzone size of the\nquantizer; this mechanism has the additional advantage that no additional\nside information needs to be transmitted and that the deadzone size is not,\nunlike the quantizer bucket size, constrained to a set of pre-defined\nvalues specified in the standard.\n\nIt is found that the image quality of JPEG XR can be improved by about 0.2\nto 0.4 dB by performing a rate-distortion optimal selection of the deadzone;\nthis gain is seen to be comparable to the PSNR loss of a JPEG 2000 codec\nwhere, for experimental reasons, EBCOT rate control has been turned off.", "isbn" : "978-1-61284-279-0", "doi" : "10.1109/DCC.2011.78", "bibtexKey": "richter2011deadzone" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2aff6f09c8d42df4861ce6c90540d2ba8/rainerreichel", "tags" : [ "JPEG","Optimal","Quantization","Quantization,","Rate-Distortion","XR!!," ], "intraHash" : "aff6f09c8d42df4861ce6c90540d2ba8", "interHash" : "95c1969b1a1b6bdc1d7a31ca7c6eecc1", "label" : "Deadzone Based Rate Allocation for JPEG XR", "user" : "rainerreichel", "description" : "", "date" : "2016-03-03 17:45:04", "changeDate" : "2016-03-04 09:57:29", "count" : 3, "pub-type": "inproceedings", "booktitle": "Data Compression Conference (DCC), 2011","publisher":"IEEE","address":"Snowbird, UT", "year": "2011", "url": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5749531", "author": [ "Thomas Richter" ], "authors": [ {"first" : "Thomas", "last" : "Richter"} ], "pages": "474","abstract": "Similar to the JPEG image compression standard, the JPEG XR image\r\ncompression solely controls the image quality loss and hence the output rate\r\nby means of the quantizer bucket sizes; a precise rate control mechanism\r\nlike the EBCOT rate allocation algorithm in JPEG 2000 is not specified, and\r\nhence rate-distortion optimality of the quantizer is, in general, not given.\r\n\r\nIn this work, a simple rate-control mechanism for JPEG XR is introduced that\r\nallows an efficient control of the quantizer towards rate-distortion\r\noptimality. One possibility to implement this quantizer control would be to\r\nuse the spatial variable quantization feature of JPEG XR, but it was seen in\r\nan earlier work that the additional side information required to transmit\r\nthe quantization setting almost compensates the PSNR gain of variable\r\nquantization and complicates the rate allocation process by requiring an\r\nadditional quantizer allocation step.\r\n\r\nHowever, while JPEG XR defines the image reconstruction process completely,\r\nan encoder still has the freedom to select the deadzone size of the\r\nquantizer; this mechanism has the additional advantage that no additional\r\nside information needs to be transmitted and that the deadzone size is not,\r\nunlike the quantizer bucket size, constrained to a set of pre-defined\r\nvalues specified in the standard.\r\n\r\nIt is found that the image quality of JPEG XR can be improved by about 0.2\r\nto 0.4 dB by performing a rate-distortion optimal selection of the deadzone;\r\nthis gain is seen to be comparable to the PSNR loss of a JPEG 2000 codec\r\nwhere, for experimental reasons, EBCOT rate control has been turned off.", "isbn" : "978-1-61284-279-0", "doi" : "10.1109/DCC.2011.78", "bibtexKey": "Richter2011" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2959d6f13d9e9fea6e4318d4316f9cc90/isw-bibliothek", "tags" : [ "Consumption","ECOMATION","Energy","ISW","Operating","control;","efficiency;","modeling;","optimal","optimization;","state-based" ], "intraHash" : "959d6f13d9e9fea6e4318d4316f9cc90", "interHash" : "bab8787d6cfa78bf366c16e82ac0afe2", "label" : "Realizing Energy Reduction of Machine Tools Through a Control-integratedConsumption Graph-based Optimization Method: Realizing Energy Reduction of Machine Tools Through a Control-integratedConsumption Graph-based Optimization Method", "user" : "isw-bibliothek", "description" : "", "date" : "2016-03-03 09:53:12", "changeDate" : "2016-03-03 09:18:35", "count" : 1, "pub-type": "misc", "year": "2013", "url": "", "author": [ "P. Eberspächer","A. Verl" ], "authors": [ {"first" : "P.", "last" : "Eberspächer"}, {"first" : "A.", "last" : "Verl"} ], "pages": "--","abstract": "Industrial manufacturing has started focusing on the topic of energyefficiency already some years ago. Nowadays, even machine controls areequipped with possibilities to switch the machine into energy saving modes oreven to shut it down entirely based on fixed time intervals or manually. Thedeveloped combination and modification of state-based consumption modelingwith graph- based optimization theory enables the control to choose theenergy-optimal state sequence for given unproductive times. The approach ispresented in detail and its saving potential is demonstrated by a usagescenario from an industrial setup.", "__markedentry" : "[xtl:6]", "bibtexKey": "EberspaecherVerl2013" } ] }