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La ricerca find articoli where soggetti phrase all words 'PID CONTROLLERS' sort by level,fasc_key/DESCEND, pagina_ini_num/ASCEND ha restituito 64 riferimenti
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    1. Armstrong, B; Neevel, D; Kusik, T
      New results in NPID control: Tracking, integral control, friction compensation and experimental results

      IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
    2. Lee, HI; Sun, BC; Tahk, MJ; Lee, H
      Control design of spinning rockets based on co-evolutionary optimization

      CONTROL ENGINEERING PRACTICE
    3. Sung, SW; Lee, IB
      Prediction error identification method for continuous-time processes with time delay

      INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
    4. Viswanathan, PK; Toh, WK; Rangaiah, GP
      Closed-loop identification of TITO processes using time-domain curve fitting and genetic algorithms

      INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
    5. Er, MJ; Sun, YL
      Hybrid fuzzy proportional-integral plus conventional derivative control oflinear and nonlinear systems

      IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
    6. Yoo, CK; Cho, JH; Kwak, HJ; Choi, SK; Chun, HD; Lee, I
      Closed-loop identification and control application for dissolved oxygen concentration in a full-scale coke wastewater treatment plant

      WATER SCIENCE AND TECHNOLOGY
    7. Li, W; Chang, XG; Wahl, FM; Farrell, J
      Tracking control of a manipulator under uncertainty by FUZZY P+ID controller

      FUZZY SETS AND SYSTEMS
    8. Tsang, KM
      Auto-tuning of fuzzy logic controllers for self-regulating processes

      FUZZY SETS AND SYSTEMS
    9. Garcia-Sanz, M
      Design of an experimental system for studying the control of multivariable, non-linear and chaotic processes

      INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION
    10. Kaya, I
      Improving performance using cascade control and a Smith predictor

      ISA TRANSACTIONS
    11. Vrancic, D; Strmcnik, S; Jurcic, D
      A magnitude optimum multiple integration tuning method for filtered PID controller

      AUTOMATICA
    12. Wang, QG; Hang, CC; Yang, XP
      Single-loop controller design via IMC principles

      AUTOMATICA
    13. Brunel, D; Elegant, L
      A new software to show the behaviour of the PID controller. Part II. Influence of the setting parameters of DSCs

      JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
    14. Brunel, D; Elegant, L
      A new software to show the behaviour of the PID controller - Influence of the setting parameters of DSCs. Part I

      JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
    15. Reznik, L; Ghanayem, O; Bourmistrov, A
      PID plus fuzzy controller structures as a design base for industrial applications

      ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
    16. Glattfelder, AH; Todtli, J; Schaufelberger, W
      Stability properties and effects of measurement disturbances on antiwindupPI- and PID-control

      EUROPEAN JOURNAL OF CONTROL
    17. Zhong, QC; Xie, JY; Jia, Q
      Time delay filter-based deadbeat control of process with dead time

      INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
    18. Tsang, KM; Lo, WL; Rad, AB
      Autotuning of phase-lead controller for integrating systems

      IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
    19. Viswanathan, PK; Rangaiah, GP
      Process identification from closed-loop response using optimization methods

      CHEMICAL ENGINEERING RESEARCH & DESIGN
    20. Li, W; Chang, XG
      Application of hybrid fuzzy logic proportional plus conventional integral-derivative controller to combustion control of stoker-fired boilers

      FUZZY SETS AND SYSTEMS
    21. Trierweiler, JO; Muller, R; Engell, S
      Multivariable low order structured-controller design by frequency responseapproximation

      BRAZILIAN JOURNAL OF CHEMICAL ENGINEERING
    22. Chidambaram, M
      Set point weighted PI/PID controllers

      CHEMICAL ENGINEERING COMMUNICATIONS
    23. Wang, QG; Zhang, Y
      Frequency response identification with cascade relay feedback

      INTERNATIONAL JOURNAL OF CONTROL
    24. Carvajal, J; Chen, GR; Ogmen, H
      Fuzzy PID controller: Design, performance evaluation, and stability analysis

      INFORMATION SCIENCES
    25. He, JB; Wang, QG; Lee, TH
      PI/PID controller tuning via LQR approach

      CHEMICAL ENGINEERING SCIENCE
    26. Wang, L; Ackermann, J
      Inherent robust stability of driver support systems

      SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
    27. Li, HX
      Relationship between fuzzy controllers and PID controllers

      SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
    28. Lin, CH; Han, KW
      Prediction of limit-cycles in nonlinear two-input two-output control systems

      IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS
    29. Fox, PD; Godfrey, KR
      Multiharmonic perturbations for nonparametric autotuning

      IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS
    30. Visioli, A
      Fuzzy logic based set-point weight tuning of PID controllers

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
    31. Vrancic, D; Peng, YB; Strmcnik, S
      A new PID controller tuning method based on multiple integrations

      CONTROL ENGINEERING PRACTICE
    32. Cheng, SL; Hwang, C
      On stabilization of time-delay unstable systems using PID controllers

      JOURNAL OF THE CHINESE INSTITUTE OF CHEMICAL ENGINEERS
    33. Wang, L; Ackermann, J
      Positivity and stabilization of driver support systems

      CONTROL AND CYBERNETICS
    34. Ho, WK; Lim, KW; Hang, CC; Ni, LY
      Getting more phase margin and performance out of PID controllers

      AUTOMATICA
    35. Tan, W; Liu, J; Tam, PKS
      PID tuning based on loop-shaping H-infinity control

      IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS
    36. LIAW CM; CHEN YK; CHAO KH; CHEN HC
      QUANTITATIVE DESIGN AND IMPLEMENTATION OF PI-D CONTROLLER WITH MODEL-FOLLOWING RESPONSE FOR MOTOR DRIVE

      IEE proceedings. Electric power applications
    37. MCCORMACK AS; GODFREY KR
      RULE-BASED AUTOTUNING BASED ON FREQUENCY-DOMAIN IDENTIFICATION

      IEEE transactions on control systems technology
    38. COLLEWET C; RAULT G; QUELLEC S; MARCHAL P
      FUZZY ADAPTIVE CONTROLLER-DESIGN FOR THE JOINT SPACE CONTROL OF AN AGRICULTURAL ROBOT

      Fuzzy sets and systems
    39. HUANG HP; CHIEN IL; LEE YC; WANG GB
      A SIMPLE METHOD FOR TUNING CASCADE CONTROL-SYSTEMS

      Chemical engineering communications
    40. PARK JH; ILPARK H; LEE IB
      CLOSED-LOOP ONLINE PROCESS IDENTIFICATION USING A PROPORTIONAL CONTROLLER

      Chemical Engineering Science
    41. HU BG; MANN GKI; GOSINE RG
      CONTROL CURVE DESIGN FOR NONLINEAR (OR FUZZY) PROPORTIONAL ACTIONS USING SPLINE-BASED FUNCTIONS

      Automatica (Oxford)
    42. HO WK; LIM KW; XU W
      OPTIMAL GAIN AND PHASE MARGIN TUNING FOR PID CONTROLLERS

      Automatica (Oxford)
    43. YING H
      THE TAKAGI-SUGENO FUZZY CONTROLLERS USING THE SIMPLIFIED LINEAR-CONTROL RULES ARE NONLINEAR VARIABLE GAIN CONTROLLERS

      Automatica
    44. Ying, H
      An analytical study on structure, stability and design of general nonlinear Takagi-Sugeno fuzzy control systems

      AUTOMATICA
    45. WANG L; CLUETT WR
      TUNING PID CONTROLLERS FOR INTEGRATING PROCESSES

      IEE proceedings. Control theory and applications
    46. ZUO W
      A GENETIC APPROACH TO ADAPTIVE-CONTROL SYSTEM-DESIGN

      Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering
    47. BESANCONVODA A; ROUXBUISSON H
      ANOTHER VERSION OF THE RELAY FEEDBACK EXPERIMENT

      Journal of process control
    48. HO WK; LEE TH; GAN OP
      TUNING OF MULTILOOP PROPORTIONAL-INTEGRAL-DERIVATIVE CONTROLLERS BASED ON GAIN AND PHASE MARGIN SPECIFICATIONS

      Industrial & engineering chemistry research
    49. RODRIGUEZMILLAN J
      ANALYSIS AND DESIGN OF NONLINEAR DYNAMICAL-SYSTEMS USING MATHEMATICA(R)

      Nonlinear analysis
    50. WANG QG; HANG CC; BI Q
      A FREQUENCY-DOMAIN CONTROLLER-DESIGN METHOD

      Chemical engineering research & design
    51. CHO HJ; CHO KB; WANG BH
      FUZZY-PID HYBRID CONTROL - AUTOMATIC RULE GENERATION USING GENETIC ALGORITHMS

      Fuzzy sets and systems
    52. VERBRUGGEN HB; BRUIJN PM
      FUZZY CONTROL AND CONVENTIONAL CONTROL - WHAT IS (AND CAN BE) THE REAL CONTRIBUTION OF FUZZY-SYSTEMS

      Fuzzy sets and systems
    53. PARK HI; SUNG SW; LEE IB; LEE J
      A SIMPLE AUTOTUNING METHOD USING PROPORTIONAL CONTROLLER

      Chemical engineering communications
    54. ABBAS A
      A NEW SET OF CONTROLLER TUNING RELATIONS

      ISA transactions
    55. NATARAJAN K; GILBERT AF
      ON DIRECT PID CONTROLLER TUNING BASED ON FINITE NUMBER OF FREQUENCY-RESPONSE DATA

      ISA transactions
    56. POULIN E; POMERLEAU A
      PID TUNING FOR INTEGRATING AND UNSTABLE PROCESSES

      IEE proceedings. Control theory and applications
    57. MISIR D; MALKI HA; CHEN GR
      DESIGN AND ANALYSIS OF A FUZZY PROPORTIONAL-INTEGRAL-DERIVATIVE CONTROLLER

      Fuzzy sets and systems
    58. JAULIN L; WALTER E
      GUARANTEED TUNING, WITH APPLICATION TO ROBUST-CONTROL AND MOTION PLANNING

      Automatica
    59. ZUO W
      MULTIVARIABLE ADAPTIVE-CONTROL FOR A SPACE STATION USING GENETIC ALGORITHMS

      IEE proceedings. Control theory and applications
    60. HWANG SH
      CLOSED-LOOP AUTOMATIC TUNING OF SINGLE-INPUT SINGLE-OUTPUT SYSTEMS

      Industrial & engineering chemistry research
    61. EDWARDS C; SPURGEON SK
      ROBUST NONLINEAR CONTROL OF HEATING PLANT

      IEE proceedings. Control theory and applications
    62. HANG CC; HO WK; CAO LS
      A COMPARISON OF 2 DESIGN METHODS FOR PID CONTROLLERS

      ISA transactions
    63. ZHUANG M; ATHERTON DP
      AUTOMATIC TUNING OF OPTIMUM PID CONTROLLERS

      IEE proceedings. Part D. Control theory and applications
    64. HWANG SH
      ADAPTIVE DOMINANT POLE DESIGN OF PID CONTROLLERS BASED ON A SINGLE CLOSED-LOOP TEST

      Chemical engineering communications


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Documento generato il 06/08/20 alle ore 13:08:02