On bandwidth-constrained disturbance rejection control

[1]  A. M. Acosta,et al.  of the 23 rd Annual EMBS International Conference , October 25-28 , Istanbul , Turkey MODEL-BASED DEVELOPMENT OF NEUROPROSTHESES FOR RESTORING PROXIMAL ARM FUNCTION , 2004 .

[2]  Mary Jane Mulcahey,et al.  Technical Perspective Functional Electrical Stimulation For Augmented Walking In Adolescents With Incomplete Spinal Cord Injury , 2003 .

[3]  C. D. Johnson,et al.  Accomodation of external disturbances in linear regulator and servomechanism problems , 1971 .

[4]  M. Clerc,et al.  The swarm and the queen: towards a deterministic and adaptive particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[5]  Zhu Hong Delay Margin for Predictive PI Control System , 2005 .

[6]  O Smith,et al.  CLOSER CONTROL OF LOOPS WITH DEAD TIME , 1957 .

[7]  I-Lung Chien,et al.  Simple control method for integrating processes with long deadtime , 2002 .

[8]  Yi Huang,et al.  An alternative paradigm for control system design , 2001 .

[9]  Hassan K. Khalil,et al.  Full-order high-gain observers for minimum phase nonlinear systems , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[10]  Julio E. Normey-Rico,et al.  Smith Predictor-Based Control Schemes for Dead-Time Unstable Cascade Processes , 2010 .

[11]  Thomas Bäck,et al.  Evolutionary Algorithms in Theory and Practice , 1996 .

[12]  Zhiqiang Gao,et al.  Active disturbance rejection control: a paradigm shift in feedback control system design , 2006, 2006 American Control Conference.

[13]  P H Peckham,et al.  Functional neuromuscular stimulation for combined control of elbow extension and hand grasp in C5 and C6 quadriplegics. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[14]  I. Horowitz,et al.  Superiority of transfer function over state-variable methods in linear time-invariant feedback system design , 1975 .

[15]  Zhiqiang Gao,et al.  On the enhanced ADRC design with a low observer bandwidth , 2013, Proceedings of the 32nd Chinese Control Conference.

[16]  M. de Mathelin,et al.  Robust control of robot manipulators: A survey , 1999 .

[17]  Janis J Daly,et al.  Feasibility of gait training for acute stroke patients using FNS with implanted electrodes , 2000, Journal of the Neurological Sciences.

[18]  R. E. Kalman,et al.  On the general theory of control systems , 1959 .

[19]  Hassan K. Khalil,et al.  Robust stabilization of non-minimum phase nonlinear systems using extended high gain observers , 2011, 2008 American Control Conference.

[20]  L. Martins,et al.  Analysis of the results of functional electrical stimulation on hemiplegic patients' upper extremities using the Minnesota manual dexterity test , 2005, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[21]  S. McLean,et al.  Development and validation of a 3-D model to predict knee joint loading during dynamic movement. , 2003, Journal of biomechanical engineering.

[22]  Si-Zhao Joe Qin,et al.  A two-stage iterative learning control technique combined with real-time feedback for independent disturbance rejection , 2004, Autom..

[23]  Yuanqing Xia,et al.  Active disturbance rejection control for uncertain multivariable systems with time-delay , 2007 .

[24]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[25]  R Riener,et al.  Patient-driven control of FES-supported standing up and sitting down: experimental results. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[26]  Yahya Rahmat-Samii,et al.  Particle swarm optimization for reconfigurable phase‐differentiated array design , 2003 .

[27]  D J Ewins,et al.  Practical low cost stand/sit system for mid-thoracic paraplegics. , 1988, Journal of biomedical engineering.

[28]  B. N. Petrov,et al.  The invariance principle and the conditions for its application during the calculation of linear and non-linear systems , 1960 .

[29]  O. J. M. Smith,et al.  A controller to overcome dead time , 1959 .

[30]  P.E. Crago,et al.  Reciprocal EMG control of elbow extension by FES , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[31]  Aidan O'Dwyer,et al.  Handbook of PI and PID controller tuning rules , 2003 .

[32]  Toshiyuki Kondo,et al.  Biological arm motion through reinforcement learning , 2004, Biological Cybernetics.

[33]  Derek P. Atherton,et al.  Use of Smith Predictor in the Outer Loop for Cascaded Control of Unstable and Integrating Processes , 2008 .

[34]  M. H. Mickle,et al.  Disturbance estimation and compensation in linear systems , 1990 .

[35]  R. Stein,et al.  Multicenter evaluation of electrical stimulation systems for walking. , 1999, Archives of physical medicine and rehabilitation.

[36]  R. Thomsen Flexible ligand docking using differential evolution , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[37]  Jingqing Han,et al.  From PID to Active Disturbance Rejection Control , 2009, IEEE Trans. Ind. Electron..

[38]  Maarten J. IJzerman,et al.  The orthotic effect of functional electrical stimulation on the improvement of walking in stroke patients with a dropped foot: a systematic review. , 2004, Artificial organs.

[39]  Tao Liu,et al.  IMC-Based Control Strategy for Open-Loop Unstable Cascade Processes , 2005 .

[40]  Dan Simon,et al.  Evolutionary Optimization Algorithms , 2013 .

[41]  Milan S. Matijevic,et al.  A robust Smith predictor modified by internal models for integrating process with dead time , 2001, IEEE Trans. Autom. Control..

[42]  C. D. Johnson,et al.  Disturbance-Accommodating Control; An Overview , 1986, 1986 American Control Conference.

[43]  Qing-Chang Zhong,et al.  Control of integral processes with dead time. Part IV: various issues about PI controllers , 2006 .

[44]  Jonathan W. Kimball,et al.  Particle swarm optimization of high-frequency transformer , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[45]  Murat Efe,et al.  Stability of the Extended Kalman Filter When the States are Constrained , 2008, IEEE Transactions on Automatic Control.

[46]  Kathleen M Jagodnik,et al.  Optimization and evaluation of a proportional derivative controller for planar arm movement. , 2010, Journal of biomechanics.

[47]  Tao Liu,et al.  New modified Smith predictor scheme for integrating and unstable processes with time delay , 2005 .

[48]  Evanghelos Zafiriou,et al.  Robust process control , 1987 .

[49]  B. Widrow,et al.  Adaptive inverse control , 1987, Proceedings of 8th IEEE International Symposium on Intelligent Control.

[50]  Julio E. Normey-Rico,et al.  Dealing with noise in unstable dead-time process control , 2010 .

[51]  Eduardo F. Camacho,et al.  A unified approach to design dead-time compensators for stable and integrative processes with dead-time , 2002, IEEE Trans. Autom. Control..

[52]  Yoshikazu Fukuyama,et al.  A particle swarm optimization for reactive power and voltage control in electric power systems , 1999, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[53]  Ibrahim Kaya,et al.  Obtaining Controller Parameters for a New PI-PD Smith Predictor Using Autotuning , 2003 .

[54]  Milos R. Popovic,et al.  Functional Electrical Stimulation. , 2006, Artificial organs.

[55]  Xiao-Feng Xie,et al.  DEPSO: hybrid particle swarm with differential evolution operator , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[56]  Pedro Albertos,et al.  Robust tuning of a generalized predictor-based controller for integrating and unstable systems with long time-delay , 2013 .

[57]  Chang-Chieh Hang,et al.  A modified Smith predictor for a process with an integrator and long dead time , 2003 .

[58]  Ian Postlethwaite,et al.  Multivariable Feedback Control: Analysis and Design , 1996 .

[59]  V. Dietz,et al.  Transcutaneous functional electrical stimulation for grasping in subjects with cervical spinal cord injury , 2005, Spinal Cord.

[60]  R. Eberhart,et al.  Comparing inertia weights and constriction factors in particle swarm optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[61]  P. Vadstrup,et al.  Parameter identification of induction motors using differential evolution , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[62]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[63]  Brian A. Garner,et al.  Estimation of Musculotendon Properties in the Human Upper Limb , 2003, Annals of Biomedical Engineering.

[64]  J. Bobet,et al.  Can muscle models improve FES-assisted walking after spinal cord injury? , 1998, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[65]  ChangKyoo Yoo,et al.  Enhanced control of integrating cascade processes with time delays using modified Smith predictor , 2010 .

[66]  Zhiqiang Gao,et al.  On the centrality of disturbance rejection in automatic control. , 2014, ISA transactions.

[67]  P. Crago,et al.  Electrically stimulated elbow extension in persons with C5/C6 tetraplegia: a functional and physiological evaluation. , 2000, Archives of physical medicine and rehabilitation.

[68]  Leonard A. Gould,et al.  Analytical design of linear feedback controls , 1957 .

[69]  C. C. Hang,et al.  A new Smith predictor for controlling a process with an integrator and long dead-time , 1994, IEEE Trans. Autom. Control..

[70]  Bao-Zhu Guo,et al.  On the convergence of an extended state observer for nonlinear systems with uncertainty , 2011, Syst. Control. Lett..

[71]  Zhiqiang Gao,et al.  On Validation of Extended State Observer Through Analysis and Experimentation , 2012 .

[72]  Hassan K. Khalil,et al.  Closed-Loop Behavior of a Class of Nonlinear Systems Under EKF-Based Control , 2007, IEEE Transactions on Automatic Control.

[73]  Richard Bellman,et al.  ON THE APPLICATION OF THE THEORY OF DYNAMIC PROGRAMMING TO THE STUDY OF CONTROL PROCESSES , 1956 .

[74]  José García-Nieto,et al.  Particle swarm hybridized with differential evolution: black box optimization benchmarking for noisy functions , 2009, GECCO '09.

[75]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[76]  Bruce A. Francis,et al.  The internal model principle of control theory , 1976, Autom..

[77]  P.E. Crago,et al.  Functional restoration of elbow extension after spinal-cord injury using a neural network-based synergistic FES controller , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[78]  C.E. Shannon,et al.  Communication in the Presence of Noise , 1949, Proceedings of the IRE.

[79]  Sybert H. Stroeve,et al.  Learning combined feedback and feedforward control of a musculoskeletal system , 1996, Biological Cybernetics.

[80]  J Esnouf,et al.  The functional impact of the Freehand System on tetraplegic hand function. Clinical Results , 2002, Spinal Cord.

[81]  Donald C. Wunsch,et al.  Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization , 2007, Neural Networks.

[82]  R. Bellman The theory of dynamic programming , 1954 .

[83]  Yoichi Hori,et al.  Robust speed control of DC servomotors using modern two degrees-of-freedom controller design , 1991 .

[84]  J J Abbas,et al.  New control strategies for neuroprosthetic systems. , 1996, Journal of rehabilitation research and development.

[85]  Ning Lan,et al.  Analysis of an optimal control model of multi-joint arm movements , 1997, Biological Cybernetics.

[86]  R. E. Kalman,et al.  When Is a Linear Control System Optimal , 1964 .

[87]  Su Whan Sung,et al.  Modified Smith Predictors for Integrating Processes: Comparisons and Proposition , 2001 .