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Travis Dierks
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2010 – 2019
- 2019
- [j12]Haci Mehmet Guzey
, Travis Dierks, Sarangapani Jagannathan, Levent Acar:
Modified Consensus-based Output Feedback Control of Quadrotor UAV Formations Using Neural Networks. J. Intell. Robotic Syst. 94(1): 283-300 (2019) - 2017
- [j11]Haci Mehmet Guzey
Hybrid Consensus-based Control of Nonholonomic Mobile Robot Formation. J. Intell. Robotic Syst. 88(1): 181-200 (2017) - [c20]Haci Mehmet Guzey, Vignesh Narayanan, Sarangapani Jagannathan, Travis Dierks, Levent Acar:
Distributed consensus-based event-triggered approximate control of nonholonomic mobile robot formations. ACC 2017: 3194-3199 - 2015
- [j10]Hassan Zargarzadeh
Optimal Control of Nonlinear Continuous-Time Systems in Strict-Feedback Form. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2535-2549 (2015) - [c19]Haci Mehmet Guzey, Travis Dierks, Sarangapani Jagannathan:
Hybrid consensus-based formation control of agents with second order dynamics. ACC 2015: 4386-4391 - 2014
- [c18]Hao Xu, Qiming Zhao, Travis Dierks, Sarangapani Jagannathan:
Neural network-based finite-horizon approximately optimal control of uncertain affine nonlinear continuous-time systems. ACC 2014: 1243-1248 - [c17]Avimanyu Sahoo
Event-triggered optimal control of nonlinear continuous-time systems in affine form by using neural networks. CDC 2014: 1227-1232 - 2013
- [j9]Travis Dierks, Bryan Brenner, Sarangapani Jagannathan:
Neural Network-Based Optimal Control of Mobile Robot Formations With Reduced Information Exchange. IEEE Trans. Control. Syst. Technol. 21(4): 1407-1415 (2013) - [j8]Shahab Mehraeen, Travis Dierks, Sarangapani Jagannathan, Mariesa L. Crow
Zero-Sum Two-Player Game Theoretic Formulation of Affine Nonlinear Discrete-Time Systems Using Neural Networks. IEEE Trans. Cybern. 43(6): 1641-1655 (2013) - [c16]Qiming Zhao, Hao Xu, Travis Dierks, Sarangapani Jagannathan:
Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems. IJCNN 2013: 1-6 - 2012
- [j7]Travis Dierks, Sarangapani Jagannathan:
Online Optimal Control of Affine Nonlinear Discrete-Time Systems With Unknown Internal Dynamics by Using Time-Based Policy Update. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1118-1129 (2012) - [c15]Hassan Zargarzadeh
State and output feedback-based adaptive optimal control of nonlinear continuous-time systems in strict feedback form. ACC 2012: 6412-6417 - [c14]Hassan Zargarzadeh
Optimal adaptive control of nonlinear continuous-time systems in strict feedback form with unknown internal dynamics. CDC 2012: 4127-4132 - [c13]Travis Dierks, Sarangapani Jagannathan:
A self-tuning optimal controller for affine nonlinear continuous-time systems with unknown internal dynamics. CDC 2012: 5392-5397 - 2011
- [j6]Travis Dierks, Bryan Brenner, Sarangapani Jagannathan:
Discrete-Time Optimal Control of Nonholonomic Mobile Robot Formations Using Linearly Parameterized Neural Networks. Int. J. Robotics Autom. 26(1) (2011) - [c12]Travis Dierks, Bryan Brenner, Sarangapani Jagannathan:
Near optimal control of mobile robot formations. ADPRL 2011: 234-241 - 2010
- [j5]Travis Dierks, Sarangapani Jagannathan:
Output feedback control of a quadrotor UAV using neural networks. IEEE Trans. Neural Networks 21(1): 50-66 (2010) - [j4]Travis Dierks, Sarangapani Jagannathan:
Neural Network Output Feedback Control of Robot Formations. IEEE Trans. Syst. Man Cybern. Part B 40(2): 383-399 (2010) - [c11]Travis Dierks, Sarangapani Jagannathan:
Optimal control of affine nonlinear continuous-time systems. ACC 2010: 1568-1573 - [c10]Travis Dierks, Sarangapani Jagannathan:
Optimal control of affine nonlinear continuous-time systems using an online Hamilton-Jacobi-Isaacs formulation. CDC 2010: 3048-3053 - [c9]Shahab Mehraeen, Travis Dierks, Sarangapani Jagannathan, Mariesa L. Crow
Zero-sum two-player game theoretic formulation of affine nonlinear discrete-time systems using neural networks. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j3]Travis Dierks, Sarangapani Jagannathan:
Asymptotic Adaptive Neural Network Tracking Control of Nonholonomic Mobile Robot Formations. J. Intell. Robotic Syst. 56(1-2): 153-176 (2009) - [j2]Travis Dierks, Balaje T. Thumati, Sarangapani Jagannathan:
Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence. Neural Networks 22(5-6): 851-860 (2009) - [j1]Travis Dierks, Sarangapani Jagannathan:
Neural Network Control of Mobile Robot Formations Using RISE Feedback. IEEE Trans. Syst. Man Cybern. Part B 39(2): 332-347 (2009) - [c8]Travis Dierks, Sarangapani Jagannathan:
Neural network control of quadrotor UAV formations. ACC 2009: 2990-2996 - [c7]Travis Dierks, Sarangapani Jagannathan:
Optimal tracking control of affine nonlinear discrete-time systems with unknown internal dynamics. CDC 2009: 6750-6755 - [c6]Travis Dierks, Balaje T. Thumati, Sarangapani Jagannathan:
Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systems. IJCNN 2009: 711-716 - 2008
- [c5]Travis Dierks, Sarangapani Jagannathan:
Neural network output feedback control of a quadrotor UAV. CDC 2008: 3633-3639 - 2007
- [c4]Travis Dierks, Sarangapani Jagannathan:
Control of Nonholonomic Mobile Robot Formations: Backstepping Kinematics into Dynamics. CCA 2007: 94-99 - [c3]Travis Dierks, Sarangapani Jagannathan:
Control of Nonholonomic Mobile Robot Formations Using Neural Networks. ISIC 2007: 132-137 - [c2]Travis Dierks, Sarangapani Jagannathan:
Asymptotic stability of nonholonomic mobile robot formations using multilayer neural networks. CDC 2007: 1944-1950 - [c1]Travis Dierks, Sarangapani Jagannathan:
Neural Network Control of Robot Formations using RISE Feedback. IJCNN 2007: 2794-2799
Coauthor Index
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