C. J. B. Macnab - researchr alias

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Viewing Publication 1 - 47 from 47

2020

Biologically-Inspired Personalities for Control Systems and Robots Using Nonlinear Optimization and Feedback TheoryC. J. B. Macnab. cogsima 2020: 167-174 [doi]

A Feedback Model of Human PersonalitiesC. J. B. Macnab. syscon 2020: 1-8 [doi]

Stability for feedback loops containing complex algorithmsM. Razmi, C. J. B. Macnab. soco, 24(10):7113-7124, 2020. [doi]

Near-optimal neural-network robot control with adaptive gravity compensationM. Razmi, C. J. B. Macnab. ijon, 389:83-92, 2020. [doi]

2019

CMAC-Adaptive Force-Position Control of a Flexible-Joint RobotS. Doctolero, C. J. B. Macnab. case 2019: 794-799 [doi]

Modifying CMAC adaptive control with weight smoothing in order to avoid overlearning and burstingC. J. B. Macnab. nca, 31(7):2207-2216, 2019. [doi]

Developing a Computer Model of Human Personalities Suitable for Robotics and Feedback ApplicationsC. J. B. Macnab. SMC 2019: 3261-3268 [doi]

Tuning Controls for Interaction with Unstructured Environments based on Human Personality TypesC. J. B. Macnab, S. Doctolero. SMC 2019: 2907-2914 [doi]

Dynamic Eye-in-Hand Visual Servoing using Adaptive Backstepping with a Supervisory Feature JacobianP. L. G. Roy, C. J. B. Macnab, J. Nielsen. case 2019: 1131-1137 [doi]

A new robust weight update for cerebellar model articulation controller adaptive control with application to transcritical organic rankine cyclesJilan Samiuddin, Babak Badkoubeh-Hezaveh, Mahsa Sadeghassadi, Jeff K. Pieper, C. J. B. Macnab. tinstmc, 41(10):2738-2750, 2019. [doi]

2018

Hybrid Force-Position Robot Control: An Artificial Neural Network Backstepping ApproachS. Doctolerc, E. Veenstra, C. J. B. Macnab, P. Goldsmith. IEEEicci 2018: 103-110 [doi]

Fuzzy-Adaptive Control with Gain and Phase MarginsR. LaOrsa, C. J. B. Macnab. IEEEicci 2018: 337-342 [doi]

2017

Experimental evaluation of adaptive CMAC haptic control for teleoperation of compliant-joint manipulatorsRachael L'Orsa, C. J. B. Macnab. visalg 2017: 1087-1092 [doi]

Creating a CMAC with overlapping basis functions in order to prevent weight driftC. J. B. Macnab. soco, 21(16):4593-4600, 2017. [doi]

Control of a flexible-joint robot using a stable adaptive introspective CMACC. J. B. Macnab, M. Razmi. SMC 2017: 1546-1551 [doi]

Giving CMAC basis functions a tail in order to prevent bursting in neural-adaptive controlC. J. B. Macnab. SMC 2017: 2182-2187 [doi]

Finding a near-optimal neural-adaptive control solution without increasing the training timeC. J. B. Macnab. cdc 2017: 3316-3323 [doi]

Control of a quadrotor helicopter using a stable introspective-CMAC adaptive controlC. J. B. Macnab. cdc 2017: 3342-3349 [doi]

Achieving robust adaptive CMAC control by overlayering basis functionsC. J. B. Macnab. ssci 2017: 1-6 [doi]

Using CMAC for adaptive nonlinear MPC and optimal setpoint identification of an activated sludge processC. J. B. Macnab, M. Sadeghassadi. ssci 2017: 1-8 [doi]

CMAC control of a quadrotor helicopter using a stable robust weight-smoothing algorithmC. J. B. Macnab. ccta 2017: 1947-1953 [doi]

Neural-adaptive backstepping for flexible-joint robots with neither extra parameters, extra networks, nor robust termsC. J. B. Macnab. icit2 2017: 854-859 [doi]

A novel adaptive controller using radial basis function neural network for the wind energy conversion systemB. Nia Roodsari, C. J. B. Macnab, E. P. Nowicki. icit2 2017: 715-720 [doi]

2016

Using RBFs in a CMAC to prevent parameter drift in adaptive controlC. J. B. Macnab. ijon, 205:45-52, 2016. [doi]

2014

An introspective algorithm for achieving low-gain high-performance robust neural-adaptive controlC. J. B. Macnab. amcc 2014: 2893-2899 [doi]

Stable neural-adaptive control of activated sludge bioreactorsC. J. B. Macnab. amcc 2014: 2869-2874 [doi]

Preventing bursting in adaptive control using an introspective neural network algorithmK. Masaud, C. J. B. Macnab. ijon, 136:300-314, 2014. [doi]

Dissolved oxygen control of activated sludge biorectors using neural-adaptive controlS. Mirghasemi, C. J. B. Macnab, A. Chu. cica 2014: 90-95 [doi]

2013

The dynamic optimization approach to locomotion dynamics: human-like gaits from a minimally-constrained biped modelS. J. Hasaneini, C. J. B. Macnab, J. E. A. Bertram, H. Leung. ar, 27(11):845-859, 2013. [doi]

Discrete-time weight updates in neural-adaptive controlDean Richert, K. Masaud, C. J. B. Macnab. soco, 17(3):431-444, 2013. [doi]

2012

Stable fuzzy-adaptive control using an introspective algorithmK. Masuad, C. J. B. Macnab. amcc 2012: 5622-5627 [doi]

Neural-adaptive control of waste-to-energy boilersS. Mahmoodi Takaghaj, C. J. B. Macnab, David T. Westwick, I. Boiko. cdc 2012: 5367-5373 [doi]

2011

Adaptive fuzzy control for a quadrotor helicopter robust to wind buffetingC. Coza, C. Nicol, C. J. B. Macnab, Alejandro Ramirez-Serrano. jifs, 22(5-6):267-283, 2011. [doi]

Generating efficient rigid biped running gaits with calculated take-off velocitiesQinghong Guo, C. J. B. Macnab, Jeff K. Pieper. robotica, 29(4):627-640, 2011. [doi]

Neural-adaptive control using alternate weightsC. J. B. Macnab. nca, 20(2):211-221, 2011. [doi]

2010

Improved Output Tracking of a Flexible-Joint Arm using Neural NetworksC. J. B. Macnab. npl, 32(2):201-218, 2010. [doi]

Adaptive control for haptics with time-delayDean Richert, C. J. B. Macnab, Jeff K. Pieper. cdc 2010: 3650-3655 [doi]

2009

Preventing bursting in approximate-adaptive control when using local basis functionsC. J. B. Macnab. fss, 160(4):439-462, 2009. [doi]

2008

Hopping with Nearly-Passive Flight PhasesQinghong Guo, C. J. B. Macnab, Jeff K. Pieper. ram 2008: 743-748 [doi]

Hopping on Even Ground and Up Stairs with a Single Articulated LegQinghong Guo, C. J. B. Macnab, Jeff K. Pieper. jirs, 53(4):331-358, 2008. [doi]

2007

A New robust Weight Update for Multilayer-Perceptron Adaptive ControlC. J. B. Macnab. cis, 35(3), 2007. [doi]

2006

Direct Neural-Adaptive Control of Robotic Manipulators using a Forward Dynamics ApproachArash Beirami, C. J. B. Macnab. ccece 2006: 363-367 [doi]

Direct Neural-Adaptive Control with Quantifiable Bounds and Improved PerformanceC. J. B. Macnab. ijcnn 2006: 4456-4462 [doi]

2004

CMAC Adaptive Control of Flexible-joint Robots using Backstepping with Tuning FunctionsC. J. B. Macnab, Gabriele M. T. D Eleuterio, Max Meng. icra 2004: 2679-2686 [doi]

2001

Neuroadaptive control of elastic-joint robots using robust performance enhancementC. J. B. Macnab, Gabriele M. T. D'Eleuterio. robotica, 19(6):619-629, 2001. [doi]

2000

Discrete-Time Lyapunov Design for Neuroadaptive Control of Elastic-Joint RobotsC. J. B. Macnab, Gabriele M. T. D Eleuterio. ijrr, 19(5):511-525, 2000. [doi]

1998

Stable, On-Line Learning using CMACs for Neuroadaptive Tracking Control of Flexible-Joint ManipulatorsC. J. B. Macnab, Gabriele M. T. D Eleuterio. icra 1998: 511-517

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