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ORCIDPeter H. Meckl
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2020 – today
- 2024
[i2]Shrenik Zinage, Ilias Bilionis, Peter H. Meckl:
A Causal Graph-Enhanced Gaussian Process Regression for Modeling Engine-out NOx. CoRR abs/2410.18424 (2024)- 2022
- [i1]Shrenik Zinage, Suyash Jadhav, Yifei Zhou, Ilias Bilionis, Peter H. Meckl:
Data Driven Modeling of Turbocharger Turbine using Koopman Operator. CoRR abs/2204.10421 (2022) - 2020
- [c25]Kaushal K. Jain, Jagdish R. Hiremath, Peter H. Meckl:
Term-by-Term Observer Design Method to Estimate NH3 Storage in SCR Catalyst. ACC 2020: 4899-4904
2010 – 2019
- 2016
- [c24]Rohinish Gupta, Peter H. Meckl:
Model development for a parallel through-the-road plug-in hybrid electric vehicle. ACC 2016: 4551-4556 - 2011
- [c23]Richard T. Meyer, Raymond A. DeCarlo, Peter H. Meckl, Chris Doktorcik, Steven D. Pekarek:
Hybrid model predictive power flow control of a fuel cell-battery vehicle. ACC 2011: 2725-2731 - 2010
- [c22]Albert Albers
, Sebastian Schillo, Daniel Sonnleithner, Markus Frietsch, Peter H. Meckl:
A new two-layer reinforcement learning approach the control of a 2DOF manipulator. ICCA 2010: 546-551
2000 – 2009
- 2007
- [c21]Alok A. Joshi, Scott M. James, Peter H. Meckl, Galen B. King, Kristofer Jennings:
Information-Theoretic Feature Selection for Classification. ACC 2007: 2000-2005 - 2006
- [c20]Withit Chatlatanagulchai, Victor M. Beazel, Peter H. Meckl:
Command shaping applied to a flexible robot with configuration-dependent resonance. ACC 2006: 1-6 - 2005
- [c19]Yongkai Xu, Peter H. Meckl:
Input robustification for motion control of systems without rigid-body mode. ACC 2005: 527-532vol.1 - [c18]Victor M. Beazel, Peter H. Meckl:
Command shaping applied to nonlinear systems with configuration-dependent resonance. ACC 2005: 539-544vol.1 - [c17]Withit Chatlatanagulchai, Peter H. Meckl:
Backstepping high-order differential neural network control of flexible-joint manipulator. ACC 2005: 1377-1382 - [c16]Alok A. Joshi, Paul B. Deignan Jr., Peter H. Meckl, Galen B. King, Kristofer Jennings:
Information theoretic fault detection. ACC 2005: 1642-1647 - [c15]Withit Chatlatanagulchai, Peter H. Meckl:
Intelligent control of a two-link flexible-joint robot, using backstepping, neural networks, and direct method. IROS 2005: 1594-1599 - [c14]Withit Chatlatanagulchai, Peter H. Meckl:
Motion control of two-link flexible-joint robot with actuator nonlinearities, using backstepping and neural networks. IROS 2005: 2511-2516 - 2004
- [c13]Arvind Sivasubramanian, Peter H. Meckl:
Numerical solution for multivariable idle speed control of a lean burn natural gas engine. ACC 2004: 138-143 - [c12]Paul B. Deignan Jr., Galen B. King, Peter H. Meckl, Kristofer Jennings:
Confidence measure estimation in dynamical systems model input set selection. ACC 2004: 2824-2829 - [c11]Withit Chatlatanagulchai, Peter H. Meckl:
Robust observer backstepping neural network control of nonlinear systems in strict feedback form. ACC 2004: 3035-3040 - [c10]Yongkai Xu, Peter H. Meckl:
Time-optimal motion control of piezoelectric actuator: STM application. ACC 2004: 4849-4854 - [c9]Withit Chatlatanagulchai, Hyuk C. Nho, Peter H. Meckl:
Robust observer backstepping neural network control of flexible-joint manipulator. ACC 2004: 5250-5255 - [c8]Withit Chatlatanagulchai, Peter H. Meckl:
Model-free observer backstepping control design for nonlinear systems in strict feedback form. CDC 2004: 5439-5444 - 2003
- [c7]Michael C. Reynolds, Peter H. Meckl:
The application of command shaping to the tracking problem. ACC 2003: 3148-3153 - 2002
- [c6]Paul B. Deignan Jr., Peter H. Meckl, Matthew A. Franchek:
The MI-RBFN: mapping for generalization. ACC 2002: 3840-3845 - 2001
- [j4]Anupam Gangopadhyay, Peter H. Meckl:
Extracting physical parameters from system identification of a natural gas engine. IEEE Trans. Control. Syst. Technol. 9(3): 425-434 (2001) - [c5]Michael C. Reynolds, Peter H. Meckl:
Hybrid optimization scheme for time-optimal control. ACC 2001: 3421-3426 - 2000
- [c4]Paul B. Deignan Jr., Peter H. Meckl, Matthew A. Franchek, John Abraham, Salim Jaliwala:
Using mutual information to pre-process input data for a virtual sensor. ACC 2000: 2927-2931
1990 – 1999
- 1999
- [j3]Wayne J. Book, Sungsoo Rhim, Peter H. Meckl, Neil C. Singer, William E. Singhose, Warren P. Seering:
Discussion on: 'Comparison of Filtering Methods for Reducing Residual Vibration' by N. Singer, W. Singhose and W. Seering. Eur. J. Control 5(2-4): 219-221 (1999) - 1994
- [j2]Peter H. Meckl, Roberto Kinceler:
Robust motion control of flexible systems using feedforward forcing functions. IEEE Trans. Control. Syst. Technol. 2(3): 245-254 (1994) - 1993
- [j1]Richard E. Nordgren, Peter H. Meckl:
An analytical comparison of a neural network and a model-based adaptive controller. IEEE Trans. Neural Networks 4(4): 685-694 (1993) - [c3]James D. Yegerlehner, Peter H. Meckl:
Experimental Implementation of Neural Network Controller for Robot Undergoing Large Payload Changes. ICRA (2) 1993: 744-749
1980 – 1989
- 1988
- [c2]Peter H. Meckl, Warren P. Seering:
Controlling velocity-limited systems to reduce residual vibration. ICRA 1988: 1428-1433 - 1987
- [c1]Peter H. Meckl, Warren P. Seering:
Reducing residual vibration in systems with time-varying resonances. ICRA 1987: 1690-1695
Coauthor Index
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