Toru Yamamoto

Last Updated :2017/11/11

Affiliations, Positions
Graduate School of Engineering, Professor
E-mail
yamahiroshima-u.ac.jp

Basic Information

Major Professional Backgrounds

  • 2005/04/01, Hiroshima University, Professor
  • 1999/10/01, 2005/03/31, Hiroshima University, Associate Professor
  • 1994/04/01, 1999/09/30, Okayama Prefectural University, Associate Professor
  • 1992/04/01, 1994/03/31, Osaka University, Research Associate
  • 1988/04/01, 1992/03/31, Takamatsu National College of Technology, Assistant Professor
  • 1987/04/01, 1988/03/31, Takamatsu National College of Technology, Research Associate

Educational Backgrounds

  • The University of Tokushima, Graduate School of Engineering, Department of Information Science and Systems Engineering, Japan, 1985/04, 1987/03
  • The University of Tokushima, Faculty of Engineering, Department of Information Science and Systems Engineering, Japan, 1980/04, 1984/03

Academic Degrees

  • Dr. of Engineering, Osaka University
  • Master of Engineering, The University of Tokushima

Research Fields

  • Engineering;Electrical and electronic engineering;Control engineering / System engineering

Research Keywords

  • Data-Oriented Control
  • Adapive & Learning Control
  • Control Applications

Educational Activity

Course in Charge

  1. 2017, Undergraduate Education, First Semester, Control Systems Engineering I
  2. 2017, Undergraduate Education, Second Semester, Control Systems Engineering II
  3. 2017, Undergraduate Education, Year, Graduation Thesis
  4. 2017, Graduate Education (Master's Program) , Year, Directed Study in System Cybernetics I
  5. 2017, Graduate Education (Master's Program) , Year, Directed Study in System Cybernetics II
  6. 2017, Graduate Education (Master's Program) , Academic Year, Directed Study in System Cybernetics II
  7. 2017, Graduate Education (Doctoral Program) , Year, Directed Study in System Cybernetics III
  8. 2017, Graduate Education (Doctoral Program) , Year, Directed Study in System Cybernetics IV
  9. 2017, Graduate Education (Doctoral Program) , Academic Year, Directed Study in System Cybernetics IV
  10. 2017, Graduate Education (Doctoral Program) , Year, Directed Study in System Cybernetics V
  11. 2017, Graduate Education (Master's Program) , Year, Seminar in System Cybernetics I
  12. 2017, Graduate Education (Master's Program) , Year, Seminar in System Cybernetics II
  13. 2017, Graduate Education (Master's Program) , Academic Year, Seminar in System Cybernetics II

Award of Education

  1. 2007/05/20, JSME Education Award, Japan Society if Mechanical Engineering, Promotion of 'Monozukuri' education about the lifesaving in the junior high school
  2. 2009/04/10, Prizes for Science and Technology (Public Understanding Promotion Category), The Minister of Education, Culture, Sports, Science and Technology

Research Activities

Academic Papers

  1. A numerical algorithm for finding solution of cross-coupled algebraic Riccati equations, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E91A(2), 682-685, FEB 2008
  2. Numerical solution of stochastic Nash games with state-dependent noise for weakly coupled large-scale systems, APPLIED MATHEMATICS AND COMPUTATION, 197(2), 844-857, APR 1 2008
  3. Stochastic H-infinity control problem with state-dependent noise for weakly coupled large-scale systems, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2(6), 571-578, NOV 2007
  4. Design of a memory-based prefilter supplementing a robust PID control system, ASIAN JOURNAL OF CONTROL, 10(3), 301-313, MAY 2008
  5. Design of a Data-Driven PID Controller, IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 17(1), 29-39, JAN 2009
  6. Design and experimental evaluation of a self-tuning controller supplementing a robust PID controller, JSME International Journal on Mechanical Systems= Machine Elements and Manufacturing, 44(1), 53-60, 20010301
  7. A design of self-tuning predictive PID controllers, IEICE Trans. on Fundamentals of Electronics= Communications and Computer Science, 84A(7), 1779-1783, 20010701
  8. A design of generalized minimum variance controllers using a GMDH network for nonlinear systems, IEICE Trans. on Fundamentals of Electronics= Communications and Computer Science, 84A(11), 20011101
  9. Genetic tuning scheme of PID parameters for first-order systems with large dead times, IEICE Trans. on Fundamentals of Electronics= Communications and Computer Science, 83A(4), 740-746, 20000401
  10. A simple pole-assignment scheme for designing multivariable self-tuning controllers, IEICE Trans. on Fundamentals of Electronics= Communications and Computer Science, 82A(2), 380-389, 19990201
  11. Intelligent controller using CMACs with self-organized structure and its application for a process system, IEICE Trans. on Fundamentals of Electronics= Communications and Computer Science, 82A(5), 856-860, 19990501
  12. A design scheme of discrete robust PID control systems and its application, Electrical Engineering in Japan, 128(4), 77-83, 19991001
  13. Discrete-time advanced PID control systems for unknown time delay systems and their applications, Electrical Engineering in Japan, 118(3), 50-57, 19971001
  14. A design method for a self-tuning regulator for a distributed-parameter system, International Journal of Control, 43(1), 271-283, 19860101
  15. A Neural-Net Based Controller Supplementing a Multiloop PID Control System, IEICE Trans. on Fundamentals of Electronics= Communications and Computer Science, E85A(1), 256-261, 20020101
  16. A Design of Multiloop Predictive Self-Tuning PID Controllers, Asian Journal of Control, 4(4), 472-481, 20021201
  17. Gain Scheduled PD Sway Controller for a Mobile Crane, 33(1), 48-54, 20050101
  18. Numerical Solutions of Soft Constrained Nash Games for Multiparameter Singularly Perturbed Systems, The 2007 IEEE International Conference on Systems, Man, and Cybernetics, 3945-3951, 20071007
  19. An Approach to Rescue RobotWorkshops for Kindergarten and Primary School Children, Journal of Robotics and Mechatronics, 25(3), 521-528, 20130601
  20. SELF-TUNING PID CONTROLLER BASED ON CONTROL PERFORMANCE EVALUATIONS, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 6(8), 3751-3762, 20100801
  21. Genetic tuning scheme of PID parameters for first-order systems with large dead times, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E83A(4), 740-746, APR 2000
  22. Design and experimental evaluation of a self-tuning controller supplementing a robust PID controller, JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING, 44(1), 53-60, MAR 2001
  23. A design of self-tuning pole-assignment control systems based on minimizing quadratic cost functions, ELECTRICAL ENGINEERING IN JAPAN, 144(1), 50-57, JUL 15 2003
  24. A design of multivariable, self-tuning PID controllers with an internal model structure, ELECTRICAL ENGINEERING IN JAPAN, 146(4), 58-64, MAR 2004
  25. A practical design of multiloop robust PID control systems, ELECTRICAL ENGINEERING IN JAPAN, 147(3), 63-71, MAY 2004
  26. A design of model driven cascade PID controllers using a neural network, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E87A(9), 2322-2330, SEP 2004
  27. A design of neural-net based PID controllers with evolutionary computation, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E87A(10), 2761-2768, OCT 2004
  28. Design and experimental evaluation of a multivariable self-tuning PID controller, IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 151(5), 645-652, SEP 2004
  29. A design of multiloop PID controllers with a neural-net based decoupler, ASIAN JOURNAL OF CONTROL, 7(3), 275-285, SEP 2005
  30. Memory-based IMC tuning of PID controllers for nonlinear systems, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 1(4), 364-373, NOV 2006
  31. Improvement of tracking performance in designing a GPC-based PID controller using a time-varying proportional gain, IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 1(4), 438-441, NOV 2006
  32. Design of a performance-adaptive proportional-integral-derivative controller for stochastic systems, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 222(I7), 691-700, NOV 2008
  33. TWO-DEGREE-OF-FREEDOM PID CONTROLLER BASED ON EXTENDED GENERALIZED MINIMUM VARIANCE CONTROL, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 4(12), 3111-3121, DEC 2008
  34. DATA-DRIVEN SKILL-BASED PID CONTROL OF A PILOT-SCALE HELICOPTER MODEL, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 4(12), 3349-3358, DEC 2008
  35. DESIGN OF A PERFORMANCE-ADAPTIVE PID CONTROLLER WITH A MODEL PREDICTION STRUCTURE, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 5(10A), 2969-2984, OCT 2009
  36. SELF-TUNING PID CONTROLLER BASED ON CONTROL PERFORMANCE EVALUATIONS, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 6(8), 3751-3762, AUG 2010
  37. Nash strategy for multiparameter singularly perturbed Markov jump stochastic systems, IET CONTROL THEORY AND APPLICATIONS, 6(14), 2337-2345, SEP 2012
  38. Design of an Implicit GMV-PID Controller Using Closed Loop Data, ELECTRICAL ENGINEERING IN JAPAN, 187(3), 18-24, MAY 2014
  39. Design of a Data-Oriented Nonlinear PID Control System, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E97A(2), 669-674, FEB 2014
  40. Development of a Nonlinear Soft Sensor Using a GMDH Network for a Refinery Crude Distillation Tower, ELECTRICAL ENGINEERING IN JAPAN, 188(3), 31-38, AUG 2014
  41. Design and Experimental Evaluation of a Data-Oriented Multivariable PID Controller, International Journal of Advanced Mechatronic Systems, 5(1), 20-26
  42. Design and Implementation of a Data-Oriented Nonlinear PID Controller, Journal of Advanced Computational Intelligence and Intelligent Informatics, 17(5), 690-698
  43. Design of a Data-Oriented Nonlinear PID Control System, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E97-A(2), 669-674
  44. Performance-Adaptive PI control for a Boiler Control System, ICIC(Innovative Computing, Information and Control) Express Letters, 8(3), 675-682
  45. Preamble Design for Estimation and Compensation of Channel Distortion Parameters in OFDM Systems, APSIPA Trans. on Signal and Information Processing, 3(10), 10 pages
  46. Performance-Adaptive Generalized Predictive Control-based Proportional-Integral-Derivative Control System and Its Application, Journal of Dynamic Systems, Measurement, and Control, Trans. of ASME, 136(6), 9 pages, 20140601
  47. Distributed Demand-side Management Optimisation for Multi-Residential Users with Energy Production and Storage Strategies, Journal of Engineering, 8 pages, 20141201
  48. Design of a Data-Oriented Multivariable PID Control System, ELECTRICAL ENGINEERING IN JAPAN, 194(3), 35-42
  49. Design and Experimental Evaluation of a Human Skill-Based PID Controller, JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE, 2(3), 140-143, 201512
  50. Design and Experimental Evaluation of a Performance-Driven PID Controller, JOURNAL OF ROBOTICS AND MECHATRONICS, 28(5), 616-624, OCT 2016
  51. Feature Extraction for Excavator Operation Skill Using CMAC, JOURNAL OF ROBOTICS AND MECHATRONICS, 28(5), 715-721, OCT 2016
  52. Design and Experimental Evaluation of a Data-Oriented Generalized Predictive PID Controller, JOURNAL OF ROBOTICS AND MECHATRONICS, 28(5), 722-729, OCT 2016
  53. Data-Driven Torque Controller for a Hydraulic Excavator, JOURNAL OF ROBOTICS AND MECHATRONICS, 28(5), 752-758, OCT 2016

Publications such as books

  1. 1993/07, Self-Tuning Pole-Assignment Controller with Long-Range Prediction , Automatic Control, 1993, 07, 6
  2. 1994/07, A Global Convergence Analysis for Self-Tuning Pole-Assignment Controller , Systems and Networks= Mathematical Theory and Applications= Akademie Verlag= Mathematical Research= Vol.79, 1994, 07, 4
  3. 2001/08, A Design of Neural-Net Based Self-Tuning PID Controller , Artificial Neural Networks= Lecture Notes in Computer Science= Springer= Vol.2130, 2001, 08, 8
  4. 2001/08, DEsign of Neural-Net Based PID Controllers Extracting Human Skills , Nouledge-Based Intelligent Information Engineering Systems and Allied Technology= Ohm-Sha, 2001, 08, 6
  5. 2003/07, A Design of CMAC Based Intelligent PID Controllers , Artificial Neural Networks and Neural Information Processing= Lecture Notes in Computer Science= Springer= Vol.2714, 2003, 07, 6
  6. Memory-Based PID Controller for Nonlinear Systems, Advanced Robust and Adaptive Control -Theory and Applications-, Springer-Tsinghua University Press, 2005, English, T.Yamamoto and K.Takao
  7. Data-Driven PID Controller, V.Ramon and V.Antonio ed., "PID Control in the Third Millennium",, Springer, 2012, 2012, English, Toru Yamamoto

Invited Lecture, Oral Presentation, Poster Presentation

  1. Design of a Smart Adaptive Control System, Toru yamamoto, Takuya Kinoshita, International Symposium on Advanced Control of Chemical Processes, 2015/05/07, With Invitation, International Federation of Control, International Federation of Control
  2. Design and Experimental Evaluation of a Data-Driven Smart Adaptive Control System, Toru Yamamoto, Control Seminar in University of Alberta, 2015/11/25, With Invitation, Dept. of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada, In industrial processes, it is necessary to monitor and maintain user-specified control performance in order to ensure product quality compliance and high productivity. This presentation will discuss a design scheme of data-driven smart adaptive controller based on the above strategy. In the newly proposed method, variances of control error and input are evaluated on-line. Moreover, control parameters are adjusted only when the user-specified control performance falls below a specified threshold. In A single parameter tuning scheme is introduced for re-tuning the control parameters . However, in the case when system parameters do change significantly, control parameters are re-designed using closed-loop data since single parameter tuning scheme may not work effectively. The effectiveness of the proposed method is demonstrated by application to a simulation example and an experimental pilot-scale temperature control system.
  3. Design and Experimental Evaluation of a Data-Driven PID Controller, Toru Yamamoto, 2016/09/08, With Invitation, National University of Singapore(NUS)
  4. Design of a Performance-Driven PID Controller, Toru Yaamoto, 6th International Conference on Advance Control of Industrial Processes, 2017/05/30, With Invitation, Howard International House, Taipei, Taiwan

Awards

  1. 1998年10月, Presentation Award in 4th China-Japan International Symposium on Industrial Management, A Design of Explicit Simple Adaptive Controllers for Industrial Process Systems
  2. 2000年07月, Best Poster Paper Award in 3rd Asian Control Conference, A Design of PID Control System with Reference Tuned by CMAC
  3. Best Paper Award of 8th Int. Conf. on Innovative Computing Information and Control・「Performance-Adaptive Proportional-Integral Control for a Boiler Control System」
  4. 2015年01月17日, International Conference on Artificial Life And Robotics(ICAROB 2015)Young Author Award, General Chair, The International Conference on Artificial Life and Robotics
  5. 2017年01月21日, Young Author Award 22nd International Conference on Artificial Life and Robotics (ICAROB 2017), ICAROB General Chair