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ORCIDChris J. B. Macnab
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- affiliation: University of Calgary, Canada
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2020 – today
- 2020
[j27]M. Razmi, C. J. B. Macnab
:
Near-optimal neural-network robot control with adaptive gravity compensation. Neurocomputing 389: 83-92 (2020)- [j26]Behnam Dadashzadeh, Chris J. B. Macnab:
SLIP-Based Control of Bipedal Walking Based on Two-Level Control Strategy. Robotica 38(8): 1434-1449 (2020) - [j25]M. Razmi, C. J. B. Macnab:
Stability for feedback loops containing complex algorithms. Soft Comput. 24(10): 7113-7124 (2020) - [c41]C. J. B. Macnab:
Biologically-Inspired Personalities for Control Systems and Robots Using Nonlinear Optimization and Feedback Theory. CogSIMA 2020: 167-174 - [c40]C. J. B. Macnab:
A Feedback Model of Human Personalities. SysCon 2020: 1-8
2010 – 2019
- 2019
- [j24]C. J. B. Macnab:
Modifying CMAC adaptive control with weight smoothing in order to avoid overlearning and bursting. Neural Comput. Appl. 31(7): 2207-2216 (2019) - [j23]Jilan Samiuddin, Babak Badkoubeh-Hezaveh, Mahsa Sadeghassadi, Jeff K. Pieper, C. J. B. Macnab:
A new robust weight update for cerebellar model articulation controller adaptive control with application to transcritical organic rankine cycles. Trans. Inst. Meas. Control 41(10): 2738-2750 (2019) - [c39]Samuel Doctolero, Chris J. B. Macnab:
CMAC-Adaptive Force-Position Control of a Flexible-Joint Robot. CASE 2019: 794-799 - [c38]Preston L. G. Roy, Chris J. B. Macnab, John Nielsen:
Dynamic Eye-in-Hand Visual Servoing using Adaptive Backstepping with a Supervisory Feature Jacobian. CASE 2019: 1131-1137 - [c37]C. J. B. Macnab, Samuel Doctolero:
Tuning Controls for Interaction with Unstructured Environments based on Human Personality Types. SMC 2019: 2907-2914 - [c36]C. J. B. Macnab:
Developing a Computer Model of Human Personalities Suitable for Robotics and Feedback Applications. SMC 2019: 3261-3268 - 2018
- [j22]Mahsa Sadeghassadi, Chris J. B. Macnab, R. Bhushan Gopaluni, David T. Westwick:
Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment. Comput. Chem. Eng. 115: 150-160 (2018) - [j21]Chris J. B. Macnab:
Comments on "An intelligent CMAC-PD torque controller with anti-over-learning scheme for electric load simulator". Trans. Inst. Meas. Control 40(6): 1741-1745 (2018) - [c35]Samuel Doctolero, E. Veenstra, C. J. B. Macnab, P. Goldsmith:
Hybrid Force-Position Robot Control: An Artificial Neural Network Backstepping Approach. ICCI*CC 2018: 103-110 - [c34]R. LaOrsa, C. J. B. Macnab:
Fuzzy-Adaptive Control with Gain and Phase Margins. ICCI*CC 2018: 337-342 - [c33]Mahsa Sadeghassadi, Chris J. B. Macnab, David T. Westwick:
Two-Level Hierarchical Control for Wastewater Treatment Utilizing Neural-Network Predictors and Nonlinear optimization. ECC 2018: 2435-2440 - 2017
- [j20]Chris J. B. Macnab:
Preventing Overlearning in CMAC by Using a Short-Term Memory. Int. J. Fuzzy Syst. 19(6): 2020-2032 (2017) - [j19]S. Javad Hasaneini, John E. A. Bertram, Chris J. B. Macnab:
Energy-optimal relative timing of stance-leg push-off and swing-leg retraction in walking. Robotica 35(3): 654-686 (2017) - [j18]C. J. B. Macnab:
Creating a CMAC with overlapping basis functions in order to prevent weight drift. Soft Comput. 21(16): 4593-4600 (2017) - [c32]Mahsa Sadeghassadi, David T. Westwick, Chris J. B. Macnab:
Setpoint control for reacting to wastewater influent in BSM1. ASCC 2017: 2796-2801 - [c31]Mahsa Sadeghassadi, Chris J. B. Macnab, David T. Westwick:
Adaptive control and setpoint optimization for the BSM1 model of wastewater treatment. ASCC 2017: 2802-2807 - [c30]C. J. B. Macnab:
CMAC control of a quadrotor helicopter using a stable robust weight-smoothing algorithm. CCTA 2017: 1947-1953 - [c29]C. J. B. Macnab:
Finding a near-optimal neural-adaptive control solution without increasing the training time. CDC 2017: 3316-3323 - [c28]C. J. B. Macnab:
Control of a quadrotor helicopter using a stable introspective-CMAC adaptive control. CDC 2017: 3342-3349 - [c27]B. Nia Roodsari, C. J. B. Macnab, E. P. Nowicki:
A novel adaptive controller using radial basis function neural network for the wind energy conversion system. ICIT 2017: 715-720 - [c26]C. J. B. Macnab:
Neural-adaptive backstepping for flexible-joint robots with neither extra parameters, extra networks, nor robust terms. ICIT 2017: 854-859 - [c25]Jilan Samiuddin, Babak Badkoubeh-Hezaveh, Mahsa Sadeghassadi, Jeff K. Pieper, Chris J. B. Macnab:
Nonlinear adaptive control of a transcritical Organic Rankine Cycle. ISIE 2017: 513-519 - [c24]Rachael L'Orsa, C. J. B. Macnab:
Experimental evaluation of adaptive CMAC haptic control for teleoperation of compliant-joint manipulators. ISIE 2017: 1087-1092 - [c23]C. J. B. Macnab, M. Razmi:
Control of a flexible-joint robot using a stable adaptive introspective CMAC. SMC 2017: 1546-1551 - [c22]Chris J. B. Macnab:
Giving CMAC basis functions a tail in order to prevent bursting in neural-adaptive control. SMC 2017: 2182-2187 - [c21]C. J. B. Macnab:
Achieving robust adaptive CMAC control by overlayering basis functions. SSCI 2017: 1-6 - [c20]Chris J. B. Macnab, Mahsa Sadeghassadi:
Using CMAC for adaptive nonlinear MPC and optimal setpoint identification of an activated sludge process. SSCI 2017: 1-8 - 2016
- [j17]C. J. B. Macnab:
Using RBFs in a CMAC to prevent parameter drift in adaptive control. Neurocomputing 205: 45-52 (2016) - 2014
- [j16]Behnam Dadashzadeh, M. J. Mahjoob, Mansour Nikkhah Bahrami, Chris J. B. Macnab:
Stable active running of a planar biped robot using Poincare map control. Adv. Robotics 28(4): 231-244 (2014) - [j15]Khalid Masaud, C. J. B. Macnab:
Preventing bursting in adaptive control using an introspective neural network algorithm. Neurocomputing 136: 300-314 (2014) - [j14]Sanaz Mahmoodi Takaghaj, Chris J. B. Macnab, David T. Westwick, Igor Boiko:
Neural-Adaptive Control of Waste-to-Energy Steam Generators. IEEE Trans. Control. Syst. Technol. 22(5): 1920-1926 (2014) - [c19]C. J. B. Macnab:
Stable neural-adaptive control of activated sludge bioreactors. ACC 2014: 2869-2874 - [c18]C. J. B. Macnab:
An introspective algorithm for achieving low-gain high-performance robust neural-adaptive control. ACC 2014: 2893-2899 - [c17]S. Mirghasemi, C. J. B. Macnab, A. Chu:
Dissolved oxygen control of activated sludge biorectors using neural-adaptive control. CICA 2014: 90-95 - [c16]Rachael L'Orsa, Kourosh Zareinia, Chris J. B. Macnab, Garnette Roy Sutherland:
Comparison of Multimodal Notifications During Telesurgery. EuroHaptics (2) 2014: 276-284 - [c15]S. Javad Hasaneini, Chris J. B. Macnab, John E. A. Bertram, Henry Leung:
Swing-leg retraction efficiency in bipedal walking. IROS 2014: 2515-2522 - 2013
- [j13]S. Javad Hasaneini, C. J. B. Macnab, John E. A. Bertram, Henry Leung:
The dynamic optimization approach to locomotion dynamics: human-like gaits from a minimally-constrained biped model. Adv. Robotics 27(11): 845-859 (2013) - [j12]Dean Richert, Khalid Masaud, C. J. B. Macnab:
Discrete-time weight updates in neural-adaptive control. Soft Comput. 17(3): 431-444 (2013) - [c14]Rachael L'Orsa, Kourosh Zareinia, Liu Shi Gan, Chris J. B. Macnab, Garnette Roy Sutherland:
Potential Tissue Puncture Notification during Telesurgery. HAID 2013: 30-39 - [c13]S. Javad Hasaneini, Chris J. B. Macnab, John E. A. Bertram, Henry Leung:
Optimal relative timing of stance push-off and swing leg retraction. IROS 2013: 3616-3623 - 2012
- [j11]Qinghong Guo, Chris J. B. Macnab, Jeff K. Pieper:
Robust Control of a Rigid Articulated Hopper. Int. J. Robotics Autom. 27(1) (2012) - [j10]Dean Richert, Chris J. B. Macnab, Jeff K. Pieper:
Adaptive Haptic Control for Telerobotics Transitioning Between Free, Soft, and Hard Environments. IEEE Trans. Syst. Man Cybern. Part A 42(3): 558-570 (2012) - [c12]Khalid Masuad, C. J. B. Macnab:
Stable fuzzy-adaptive control using an introspective algorithm. ACC 2012: 5622-5627 - [c11]Sanaz Mahmoodi Takaghaj, C. J. B. Macnab, David T. Westwick, Igor Boiko:
Neural-adaptive control of waste-to-energy boilers. CDC 2012: 5367-5373 - [c10]Khalid Masaud, Chris J. B. Macnab:
An Introspective Learning Algorithm that Achieves Robust Adaptive Control of a Quadrotor Helicopter. Infotech@Aerospace 2012 - 2011
- [j9]C. Coza, C. Nicol, C. J. B. Macnab, Alejandro Ramirez-Serrano:
Adaptive fuzzy control for a quadrotor helicopter robust to wind buffeting. J. Intell. Fuzzy Syst. 22(5-6): 267-283 (2011) - [j8]C. J. B. Macnab:
Neural-adaptive control using alternate weights. Neural Comput. Appl. 20(2): 211-221 (2011) - [j7]Qinghong Guo, C. J. B. Macnab, Jeff K. Pieper:
Generating efficient rigid biped running gaits with calculated take-off velocities. Robotica 29(4): 627-640 (2011) - 2010
- [j6]C. J. B. Macnab:
Improved Output Tracking of a Flexible-Joint Arm using Neural Networks. Neural Process. Lett. 32(2): 201-218 (2010) - [c9]Dean Richert, C. J. B. Macnab, Jeff K. Pieper:
Adaptive control for haptics with time-delay. CDC 2010: 3650-3655
2000 – 2009
- 2009
- [j5]C. J. B. Macnab:
Preventing bursting in approximate-adaptive control when using local basis functions. Fuzzy Sets Syst. 160(4): 439-462 (2009) - [c8]Dean Richert, Arash Beirami, Chris J. B. Macnab:
Neural-adaptive control of robotic manipulators using a supervisory inertia matrix. ICARA 2009: 634-639 - [c7]Chris J. B. Macnab:
Stable neural control of a flexible-joint manipulator subjected to sinusoidal disturbance. ICARA 2009: 698-703 - 2008
- [j4]Qinghong Guo, C. J. B. Macnab, Jeff K. Pieper:
Hopping on Even Ground and Up Stairs with a Single Articulated Leg. J. Intell. Robotic Syst. 53(4): 331-358 (2008) - [c6]Qinghong Guo, C. J. B. Macnab, Jeff K. Pieper:
Hopping with Nearly-Passive Flight Phases. RAM 2008: 743-748 - 2007
- [j3]C. J. B. Macnab:
A New robust Weight Update for Multilayer-Perceptron Adaptive Control. Control. Intell. Syst. 35(3) (2007) - 2006
- [c5]Arash Beirami, C. J. B. Macnab:
Direct Neural-Adaptive Control of Robotic Manipulators using a Forward Dynamics Approach. CCECE 2006: 363-367 - [c4]C. J. B. Macnab:
Direct Neural-Adaptive Control with Quantifiable Bounds and Improved Performance. IJCNN 2006: 4456-4462 - 2005
- [c3]Chris J. B. Macnab:
Getting weights to behave themselves: achieving stability and performance in neural-adaptive control when inputs oscillate. ACC 2005: 3192-3197 - 2004
- [c2]C. J. B. Macnab, Gabriele M. T. D'Eleuterio, Max Q.-H. Meng:
CMAC Adaptive Control of Flexible-joint Robots using Backstepping with Tuning Functions. ICRA 2004: 2679-2686 - 2001
- [j2]C. J. B. Macnab, Gabriele M. T. D'Eleuterio:
Neuroadaptive control of elastic-joint robots using robust performance enhancement. Robotica 19(6): 619-629 (2001) - 2000
- [j1]C. J. B. Macnab, Gabriele M. T. D'Eleuterio:
Discrete-Time Lyapunov Design for Neuroadaptive Control of Elastic-Joint Robots. Int. J. Robotics Res. 19(5): 511-525 (2000)
1990 – 1999
- 1998
- [c1]C. J. B. Macnab, Gabriele M. T. D'Eleuterio:
Stable, On-Line Learning using CMACs for Neuroadaptive Tracking Control of Flexible-Joint Manipulators. ICRA 1998: 511-517
Coauthor Index
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