Structural Modeling a Tutorial Guide. - George G. Lendaris (IEEE Trans. Syst. Man Cybern., 1980)

On Systemness and the Problem Solver: Tutorial Comments. - George G. Lendaris (IEEE Trans. Syst. Man Cybern., 1986)

Conceptual graph knowledge systems as problem context for neural networks. - George G. Lendaris (ICNN, 1988)

On comparing neural net training paradigms via graded pattern recognition tasks. - George G. Lendaris (Neural Networks, 1988)

A proposal for indicating quality of generalization when evaluating ANNs. - George G. Lendaris (IJCNN, 1990)

Training strategies for critic and action neural networks in dual heuristic programming method. - George G. Lendaris; Christian Paintz (ICNN, 1997)

Improving ANN generalization using a priori knowledge to pre-structure ANNs. - George G. Lendaris; Armin Rest; Thomas R. Misley (ICNN, 1997)

A comparison of training algorithms for DHP adaptive critic neurocontrol. - George G. Lendaris; Thaddeus T. Shannon; Andres Rustan (IJCNN, 1999)

Linear Hopfield networks and constrained optimization. - George G. Lendaris; Karl Mathia; Richard Saeks (IEEE Trans. Syst. Man Cybern. Part B, 1999)

Adaptive critic based approximate dynamic programming for tuning fuzzy controllers. - Thaddeus T. Shannon; George G. Lendaris (FUZZ-IEEE, 2000)

Adaptive Critic Design for Intelligent Steering and Speed Control of a 2-Axle Vehicle. - George G. Lendaris; Larry Schultz; Thaddeus T. Shannon (IJCNN (3), 2000)

Neural adaptive control of LoFLYTE(R). - Chadwick J. Cox; James C. Neidhoefer; Richard Saeks; George G. Lendaris (ACC, 2001)

Globally convergent approximate dynamic programming applied to an autolander. - John J. Murray; Chadwick J. Cox; Richard Saeks; George G. Lendaris (ACC, 2001)

Adaptive dynamic programming. - John J. Murray; Chadwick J. Cox; George G. Lendaris; Richard Saeks (IEEE Trans. Syst. Man Cybern. Part C, 2002)

Artificial neural network implementation using many-valued quantum computing. - Anas N. Al-Rabadi; George G. Lendaris (IJCNN, 2003)

Controller design via adaptive critic and model reference methods. - George G. Lendaris; Roberto A. Santiago; Jay McCarthy; Michael Carroll (IJCNN, 2003)

An automated method for neuronal spike source identification. - Roberto A. Santiago; James McNames; Kim Burchiei; George G. Lendaris (IJCNN, 2003)

Accelerating critic learning in approximate dynamic programming via value templates and perceptual learning. - Thaddeus T. Shannon; Roberto A. Santiago; George G. Lendaris (IJCNN, 2003)

Adaptive critic design of a control augmentation system for an unmanned aerial vehicle. - Roberto A. Santiago; George G. Lendaris (SMC, 2003)

Developments in understanding neuronal spike trains and functional specializations in brain regions. - Roberto A. Santiago; James McNames; Kim Burchiel; George G. Lendaris (Neural Networks, 2003)

Intelligent supply chain management using adaptive critic learning. - Stephen Shervais; Thaddeus T. Shannon; George G. Lendaris (IEEE Trans. Syst. Man Cybern. Part A, 2003)

Learning with binary-valued utility using derivative adaptive critic methods. - Shari A. Matzner; Thaddeus T. Shannon; George G. Lendaris (IJCNN, 2004)

On-line system identification using context discernment. - Lars Holmstrom; Roberto A. Santiago; George G. Lendaris (IJCNN, 2005)

Reinforcement learning and the frame problem. - Roberto A. Santiago; George G. Lendaris (IJCNN, 2005)

Experience-Based Identification and Control via Higher-Level Learning and Context Discernment. - George G. Lendaris (IJCNN, 2006)

Effectiveness of a Coupled Oscillator Network for Surface Discernment by a Quadruped Robot based on Kinesthetic Experience. - Andrew H. Toland; Lars A. Holstrom; George G. Lendaris (IJCNN, 2007)

Higher Level Application of ADP: A Next Phase for the Control Field? - George G. Lendaris (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Guest Editorial: Special Issue on Adaptive Dynamic Programming and Reinforcement Learning in Feedback Control. - Frank L. Lewis; Derong Liu 001; George G. Lendaris (IEEE Trans. Syst. Man Cybern. Part B, 2008)

A retrospective on Adaptive Dynamic Programming for control. - George G. Lendaris (IJCNN, 2009)

Adaptive dynamic programming approach to experience-based systems identification and control. - George G. Lendaris (Neural Networks, 2009)

Higher-level application of Adaptive Dynamic Programming/Reinforcement Learning - a next phase for controls and system identification? - George G. Lendaris (ADPRL, 2011)

Explorations on system identification via higher-level application of Adaptive-Critic Approximate Dynamic Programming. - Joshua G. Hughes; George G. Lendaris (IJCNN, 2011)