References of Prof. Dr. Oliver Nelles

Transkript

1 References of Prof. Dr. Oliver Nelles [1] O. Nelles and M. Ayoubi. Neural structure for fault tree analysis. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Paris, France, July [2] O. Nelles and M. Ayoubi. Learning the relevance of symtoms in fault trees. In European Congress on Intelligent Techniques and Soft Computing (EUFIT), pages , Aachen, Germany, September [3] O. Nelles and R. Isermann. A comparison between radial basis function networks and classical methods for identification of nonlinear dynamic systems. In IFAC Symposium on Adaptive Systems in Control and Signal Processing (ASCSP), pages , Budapest, Hungary, June [4] O. Nelles and R. Isermann. Identification of nonlinear dynamic systems classical methods versus radial basis function networks. In American Control Conference (ACC), pages , Seattle, USA, June [5] O. Nelles. On training radial basis function networks as series-parallel and parallel models for identification of nonlinear dynamic systems. In IEEE Conference on System, Man and Cybernetics (SMC), pages , Vancouver, Canada, October [6] O. Nelles. Training neuronaler Netze als seriell-parallele oder parallele Modelle zur Identifikation nichtlinearer, dynamischer Systeme. In 3. GI Fuzzy-Neuro-Systeme Workshop, pages , Darmstadt, Germany, November [7] O. Nelles, R. Isermann, and E. Schmidt. Identification of nonlinear dynamic systems with radial basis funtion networks - linear versus nonlinear optimization. In European Congress on Intelligent Techniques and Soft Computing (EUFIT), pages , Aachen, Germany, September [8] O. Nelles. On the identification with neural networks as series-parallel and parallel models. In International Conference on Artificial Neural Networks (ICANN), pages , Paris, France, June [9] O. Nelles and R. Isermann. A new technique for determination of hidden layer parameters in RBF networks. In IFAC World Congress, pages , San Francisco, USA, June [10] O. Nelles, S. Sinsel, and R. Isermann. Local basis function networks for identification of a turbocharger. In IEE UKACC International Conference on Control, pages 7 12, Exeter, UK, September [11] O. Nelles. FUREGA - fuzzy rule extraction by a genetic algorithm. In European Congress on Intelligent Techniques and Soft Computing (EUFIT), pages , Aachen, Germany, September

2 [12] O. Nelles and M. Fischer. Local linear model trees (LOLIMOT) for nonlinear system identification of a cooling blast. In European Congress on Intelligent Techniques and Soft Computing (EUFIT), pages , Aachen, Germany, September [13] M. Fischer and O. Nelles. Tuning of PID-controllers for nonlinear processes based on local linear fuzzy models. In European Congress on Intelligent Techniques and Soft Computing (EUFIT), pages , Aachen, Germany, September [14] O. Nelles, S. Ernst, and R. Isermann. Neural networks for identification of nonlinear dynamic systems An overview. In European Congress on Intelligent Techniques and Soft Computing (EUFIT), pages , Aachen, Germany, September [15] O. Nelles. Local linear model tree for on-line identification of time-variant nonlinear dynamic systems. In International Conference on Artificial Neural Networks (ICANN), pages , Bochum, Germany, July [16] O. Nelles, M. Fischer, and B. Müller. Fuzzy rule extraction by a genetic algorithm and constrained nonlinear optimization of membership functions. In International IEEE Conference on Fuzzy Systems (FUZZ-IEEE), pages , New Orleans, USA, September [17] S. Ernst, O. Nelles, and R. Isermann. Neuronale Netze für die Identifikation nichtlinearer, dynamischer Systeme: Ein Überblick. In GMA- Kongreß, pages , Baden-Baden, Germany, September [18] O. Nelles and R. Isermann. Basis function networks for interpolation of local linear models. In IEEE Conference on Decision and Control (CDC), pages , Kobe, Japan, December [19] O. Nelles. LOLIMOT Lokale, lineare Modelle zur Identifikation nichtlinearer, dynamischer Systeme. Automatisierungstechnik (at), 45(4): , April [20] O. Nelles and M. Fischer. Fuzzy model identification of a ph process. In International ICSC Symposium on Fuzzy Logic and Applications, pages , Zürich, Switzerland, February [21] M. Fischer and O. Nelles. Fuzzy model-based predictive control of nonlinear processes with fast dynamics. In International ICSC Symposium on Fuzzy Logic and Applications, pages 57 63, Zürich, Switzerland, February [22] O. Nelles, O. Hecker, and R. Isermann. Identifikation nichtlinearer, dynamischer Prozesse mit Takagi-Sugeno Fuzzy-Modellen variabler Struktur. In 4. GI Fuzzy-Neuro-Systeme Workshop, pages , Soest, Germany, March

3 [23] R. Schwarz, O. Nelles, P. Scheerer, and R. Isermann. Increasing signal accuracy of automatic wheel-speed sensors by on-line learning. In American Control Conference (ACC), pages , Albuquerque, USA, June [24] O. Hecker, O. Nelles, and R. Isermann. Nonlinear system identification and predictive control of a heat exchanger based on local linear model trees. In American Control Conference (ACC), pages , Albuquerque, USA, June [25] O. Nelles. Orthonormal basis functions for nonlinear system identification with local linear model trees (LOLIMOT). In IFAC Symposium on System Identification (SYSID), pages , Kitakyushu, Fukuoka, Japan, July [26] O. Nelles, O. Hecker, and R. Isermann. Automatic model selection in local linear model trees for nonlinear system identification of a transport delay process. In IFAC Symposium on System Identification (SYSID), pages , Kitakyushu, Fukuoka, Japan, July [27] M. Fischer, O. Nelles, and R. Isermann. Adaptive predictive control based on local linear fuzzy models. In IFAC Symposium on System Identification (SYSID), pages , Kitakyushu, Fukuoka, Japan, July [28] R. Isermann, S. Ernst, and O. Nelles. Identification with dynamic neural networks Architectures, comparisons, applications, plenary. In IFAC Symposium on System Identification (SYSID), pages , Kitakyushu, Fukuoka, Japan, July [29] O. Nelles, S. Ernst, and R. Isermann. Neuronale Netze zur Identifikation nichtlinearer, dynamischer Systeme: Ein Überblick. Automatisierungstechnik (at), 45(6): , June [30] O. Nelles, M. Fischer, and R. Isermann. Identification of fuzzy models for predictive control of nonlinear time-variant processes. In IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC), pages , Kuala Lumpur, Malaysia, September [31] M. Fischer, O. Nelles, and R. Isermann. Fuzzy model-based predictive control of a heat exchanger. In IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC), pages , Kuala Lumpur, Malaysia, September [32] M. Fischer, O. Nelles, and R. Isermann. Exploiting prior knowledge in fuzzy model identification of a heat exchanger. In IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC), pages , Kuala Lumpur, Malaysia, September

4 [33] P. Ballé and O. Nelles. Fault detection for a heat exchanger based on a bank of local linear fuzzy models of subprocesses. In IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC), pages , Kuala Lumpur, Malaysia, September [34] P. Ballé, O. Nelles, and D. Füssel. Fault detection on nonlinear processes based on local linear fuzzy models in parallel- and series-parallel mode. In IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), pages , Kingston upon Hull, UK, August [35] O. Nelles. Strukturoptimierung von Takagi-Sugeno Fuzzy-Modellen. In GMA-Workshop des Fachausschusses Fuzzy Control, pages , Dortmund, Germany, November [36] O. Nelles. GA-based generation of fuzzy rules. In W. Pedrycz, editor, Fuzzy Evolutionary Computation, chapter 2.9, pages Kluwer Academic Publishers, Boston, USA, [37] O. Nelles. Nonlinear system identification with neurofuzzy methods. In Da Ruan, editor, Intelligent Hybrid Systems Fuzzy Logic, Neural Networks, and Genetic Algorithms, chapter 12, pages Kluwer Academic Publishers, Boston, USA, [38] M. Schmidt and O. Nelles. Filtering and deriving signals using neural networks. In American Control Conference (ACC), pages , Philadelphia, USA, June [39] O. Nelles, O. Hecker, and R. Isermann. Automatische Strukturselektion für Fuzzy-Modelle zur Identifikation nichtlinearer, dynamischer Prozesse. Automatisierungstechnik (at), 46(6): , June [40] P. Ballé, M. Fischer, D. Füssel, O. Nelles, and R. Isermann. Integrated control, diagnosis, and reconfiguration of a heat exchanger. IEEE Control Systems Magazine, 18(3):52 63, June [41] M. Fischer, O. Nelles, and A. Fink. Predictive control based on local linear fuzzy models. International Journal of Systems Science, 28(7): , [42] M. Fischer, O. Nelles, and R. Isermann. Adaptive predictive control of a heat exchanger based on a fuzzy model. Control Engineering Practice (CEP), 6(6): , June [43] O. Nelles. Structure optimization of Takagi-Sugeno fuzzy models. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS), Special Issue on Applications of New Functional Principles of Fuzzy Systems and Neural Networks within Computational Intelligence, 5(2): ,

5 [44] O. Nelles and T. Ullrich. Comparison of input space decompositions for local model networks. In European Congress on Intelligent Techniques and Soft Computing (EUFIT), volume 1, pages , Aachen, Germany, September [45] M. Hafner, M. Schüler, and O. Nelles. Neural net models for Diesel engines simulation and exhaust optimization. In European Congress on Intelligent Techniques and Soft Computing (EUFIT), volume 1, pages , Aachen, Germany, September [46] O. Nelles, D. Füssel, P. Ballé, and R. Isermann. Model-based fault detection and diagnosis part B: Applications. In International Conference on Probability, Safety, Assessment, and Management, volume 3, pages , New York, USA, September [47] O. Nelles, S. Ernst, M. Ayoubi, A. Schumann, and K.-H. Lachmann. Identifikation mit einem Hammersteinmodell und neuronalen Netzen am Beispiel eines Abgasturboladers. Automatisierungstechnik (at), 46(9): , September [48] M. Fischer, O. Nelles, and A. Fink. Adaptive fuzzy model-based control. Journal A, 39(3):22 28, [49] O. Nelles and M. Fischer. Lokale Linearisierung von Fuzzy-Modellen. Automatisierungstechnik (at), 47(5): , May [50] R. Schwarz, O. Nelles, and R. Isermann. Verbesserung der Signalgenauigkeit von Raddrehzahlsensoren mittels Online-Kompensation der Impulsradfehler. Automatisierungstechnische Praxis (atp), 41(3):35 42, March [51] N. Müller and O. Nelles. Closed-loop ignition control using on-line learning of locally-tuned radial basis function networks. In American Control Conference (ACC), pages , San Diego, USA, June [52] M. Hafner, M. Schüler, and O. Nelles. Dynamical identification and control of combustion engine exhaust. In American Control Conference (ACC), pages , San Diego, USA, June [53] C. Halfmann, O. Nelles, and H. Holzmann. Semi-physical modeling of the vertical vehicle dynamics. In American Control Conference (ACC), pages , San Diego, USA, June [54] A. Fink, M. Fischer, and O. Nelles. Supervison of nonlinear adaptive controllers based on fuzzy models. In IFAC World Congress, volume Q, pages , Beijing, China, July [55] C. Halfmann, O. Nelles, and H. Holzmann. Identification of the vehicle suspension characteristics using local linear model trees. In IEEE Conference on Control Applications (CCA), pages , Kohala Coast, USA, August

6 [56] A. Fink, O. Nelles, and M. Fischer. Linearization based and local model based controller design. In European Control Conference (ECC), Karlsruhe, Germany, September [57] O. Nelles, A. Fink, R. Babuška, and M. Setnes. Comparison of two construction algorithms for Takagi-Sugeno fuzzy models. In European Congress on Intelligent Techniques and Soft Computing (EUFIT), Aachen, Germany, September [58] H. Holzmann, O. Nelles, C. Halfmann, and R. Isermann. Vehicle dynamics simulation based on hybrid modeling. In IEEE/ASME Conference on Advanced Intelligent Mechatronics, pages 19 23, Atlanta, USA, September [59] O. Nelles. Nonlinear System Identification with Local Linear Neuro-Fuzzy Models. Ph.D. Thesis, TU Darmstadt, Automatisierungstechnik series. Shaker Verlag, Aachen, Germany, [60] R. Schwarz, O. Nelles, R. Isermann, and P. Scheerer. Verfahren zum Ausgleich von Abweichungen eines Raddrehzahlsensors. Patent DE A1, Continental Teves AG, [61] M. Fischer, O. Nelles, and R. Isermann. Knowledge-based adaptation of neurofuzzy models in predictive control of a heat exchanger. In Sinha and Gupta, editors, Soft Computing and Intelligent Systems: Theory and Practice. Academic Press, [62] O. Nelles, A. Fink, and R. Isermann. Local linear model trees (LOLIMOT) toolbox for nonlinear system identification. In IFAC Symposium on System Identification (SYSID), Santa Barbara, USA, June [63] O. Nelles and A. Fink. Grid-based look-up table optimization toolbox. In IFAC Symposium on System Identification (SYSID), Santa Barbara, USA, June [64] S. Töpfer, O. Nelles, and R. Isermann. Comparison of a hierarchically constructed neural network and a hierarchical look-up table. In IFAC Symposium on System Identification (SYSID), Santa Barbara, USA, June [65] O. Nelles and M. Tomizuka. On the dynamics of local linear model networks with orthonormal basis functions. In IFAC Symposium on System Identification (SYSID), Santa Barbara, USA, June [66] J. Schaffnit, O. Nelles, R. Isermann, and W. Schmid. Local linear model tree (LOLIMOT) for nonlinear system identification of a turbocharger with variable turbine geometry (vtg). In IFAC Symposium on System Identification (SYSID), Santa Barbara, USA, June

7 [67] F. Hoffmann and O. Nelles. Structure identification of TSK fuzzy systems using genetic programming. In Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Madrid, Spain, July [68] O. Nelles, A. Fink, and R. Isermann. Local orthonormal basis function networks. In IEE UKACC International Conference on Control, Cambridge, UK, September [69] D. Füssel and O. Nelles. Takagi-Sugeno Fuzzy-Systeme als lokale Polynomklassifikatoren. In GMA-Kongress Computational Intelligence, pages , Baden-Baden, Germany, [70] O. Nelles and A. Fink. Tool zur Optimierung von Rasterkennfeldern. Automatisierungstechnische Praxis (atp), 42(5):58 66, May [71] A. Fink, M. Fischer, and O. Nelles. Supervision of nonlinear adaptive controllers based on fuzzy models. Control Engineering Practice (CEP), 8(10): , [72] M. Hafner, M. Schüler, O. Nelles, and R. Isermann. Fast neural networks for diesel engine control design. Control Engineering Practice (CEP), 8(11): , [73] O. Nelles, A. Fink, R. Babuška, and M. Setnes. Comparison of two construction algorithms for Takagi-Sugeno fuzzy models. International Journal of Applied Mathematics and Computer Science, 10(4): , [74] O. Nelles. Verfahren zur Bestimmung einer Fahrzeugmasse und einer Fahrbahnsteigung. Patentanmeldung, Siemens VDO Automotive AG, [75] O. Nelles. Nonlinear System Identification. Springer, Berlin, Germany, [76] A. Fink, O. Nelles, M. Fischer, and R. Isermann. Non-linear adaptive control of a heat exchanger. International Journal of Adaptive Control and Signal Processing, 15(8): , [77] F. Hoffmann and O. Nelles. Genetic programming for model selection of TSK fuzzy systems. International Journal of Information Sciences, 136:7 28, [78] Y. Sheng, O. Nelles, and M. Tomizuka. Intelligent modeling of drilling process: A knowledge-based neural strategy with fuzzy switches. In ASME International Mechanical Engineering Congress and Exposition, New York, USA, November [79] A. Fink and O. Nelles. Nonlinear internal model control based on local linear neural networks. In IEEE Conference on Systems, Man, and Cybernetics, pages , Tuscon, USA, October

8 [80] O. Nelles and F. Graf. Umweltadaptive Getriebesteuerung mit personalisierter Schaltstrategie. Patentanmeldung, Siemens VDO Automotive AG, [81] J. Bamberger, J. Horn, P. Michau, and O. Nelles. Verfahren zum Steuern einer automatischen Kraftfahrzeugkupplung. Patentanmeldung, Siemens VDO Automotive AG, [82] O. Nelles, F. Graf, and M. Manz. Antriebsstrangsteuerung mit Navigationssystem zur Optimierung des Schaltverhaltens und des Wirkungsgrades. Patentanmeldung, Siemens VDO Automotive AG, [83] A. Fink and O. Nelles. Nonlinear internal model control for MISO systems based on local linear neuro-fuzzy models. In 15th IFAC World Congress, Barcelona, Spain, July [84] O. Nelles. Die lernende Fahrstrategie IntelligenTip. In IIR Getriebeelektronik, Mannheim, Germany, May [85] O. Nelles. Lernfähige Fuzzy-basierte Fahrstrategie für automatische Getriebe. In Haus der Technik Tagung: Modellgestützte Steuerung, Regelung und Diagnose von Verbrennungsmotoren, Darmstadt, Germany, Juni [86] O. Nelles and G. Probst. Drivetrain control with ISG influence on driveability, comfort, performance, and fuel consumption. In 14. Internationale AVL Tagung Motor und Umwelt, Graz, Austria, September [87] P. Michau and O. Nelles. Zeitoptimale Steuerung und Regelung von elektrischen Strömen. Patentanmeldung, Siemens VDO Automotive AG, [88] O. Nelles, M. Manz, and J.S. Rhee. Nutzung einer Momentenkorrektur aus der Motorsteuerung für die Getriebesteuerung. Patentanmeldung, Siemens VDO Automotive AG, [89] O. Nelles, P. Michau, and A. Siebinger. Verfahren zur Modellierung der Reibcharakteristik einer Trockenkupplung. Patentanmeldung, Siemens VDO Automotive AG, [90] F. Graf, O. Nelles, P. Michau, and M. Deiml. Verfahren zur Adaption der Kupplungsreibcharakteristik. Patentanmeldung, Siemens VDO Automotive AG, [91] P. Michau, O. Nelles, and A. Siebinger. Verfahren zur Berechnung der Kupplungsreibbelagstemperatur. Patentanmeldung, Siemens VDO Automotive AG, [92] T. Roy, O. Nelles, M. Lachmayr, and M. Manz. Automatische Erkennung eines abweichenden Rades eines Fahrzeugs. Patentanmeldung, Siemens VDO Automotive AG,

9 [93] O. Nelles. IntelligenTip: a learning shift strategy for automated transmissions. In SAE World Congress, Detroit, USA, March [94] O. Nelles. Lernfähige Fuzzy-basierte Fahrstrategie für automatische Getriebe. In R. Isermann, editor, Modellgestützte Steuerung, Regelung und Diagnose von Verbrennungsmotoren, chapter C.15, pages Springer, [95] S. Töpfer and O. Nelles. Polynommodelle, Kennfelder und neuronale Netze. In R. Isermann, editor, Modellgestützte Steuerung, Regelung und Diagnose von Verbrennungsmotoren, chapter B.7, pages Springer, [96] O. Nelles. Verfahren zur zuverlässigkeitsabhängigen Aktivierung von Funktionen. Patentanmeldung, Siemens VDO Automotive AG, [97] T. Roy, W. Sassler, and O. Nelles. Verfahren zur Bestimmung einer Fahrzeugmasse. Patentanmeldung, Siemens VDO Automotive AG, [98] O. Nelles. Verfahren zur Steuerung eines Doppelkupplungs- oder ähnliche Getriebe. Patentanmeldung, Siemens VDO Automotive AG, [99] T. Roy, O. Nelles, W. Sassler, and F. Lohrenz. Verfahren zur Prädiktion des wahrscheinlichen Routenverlaufs. Patentanmeldung, Siemens VDO Automotive AG, [100] T. Marechal, O. Nelles, and F. Lohrenz. Intelligent shift strategies for automatic transmissions. In Innovations pour Transmissions Automobiles, Car Training Institute (CTI), Paris, France, September [101] A. Fink and O. Nelles. zur Bestimmung der Drehrichtung eines Rades. Patentanmeldung, Siemens VDO Automotive AG, [102] O. Nelles. Axes-oblique partitioning strategies for local model networks. In IEEE International Symposium on Intelligent Control, Munich, Germany,