Howard M. Schwartz

发表

Decentralized strategy selection with learning automata for multiple pursuer–evader games

Sidney Nascimento Givigi, Howard M. Schwartz, S. Givigi, 2014, Adapt. Behav..

Adaptive control of robotic manipulators: experimental results

Howard M. Schwartz, Richard Gourdeau, 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

Experimental results for output feedback adaptive robot control

Howard M. Schwartz, John M. Daly, H. Schwartz, 2006, Robotica.

A novel hybrid learning technique applied to a self-learning multi-robot system

Howard M. Schwartz, Sameh F. Desouky, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

A Learning Invader for the “Guarding a Territory” Game

Sidney Nascimento Givigi, Howard M. Schwartz, Hashem Raslan, 2016, J. Intell. Robotic Syst..

A game theoretic approach to swarm robotics

Howard M. Schwartz, Sidney N. Givigi, S. Givigi, 2006 .

Reinforcement learning in the guarding a territory game

Howard M. Schwartz, Chidozie V. Analikwu, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

SENSITIVITY ANALYSIS OF AN INTEGRATED NAVSTAR GPS/INS NAVIGATION SYSTEM TO COMPONENT FAILURE

Howard M. Schwartz, 1983 .

A novel technique to design a fuzzy logic controller using Q(λ)-learning and genetic algorithms in the pursuit-evasion game

Howard M. Schwartz, Sameh F. Desouky, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Swarm Robot Systems Based on the Evolution of Personality Traits

Howard M. Schwartz, Sidney N. Givigi, S. Givigi, 2007 .

Multiple Model Control Improvements: Hypothesis Testing and modified Model Arrangement

Howard M. Schwartz, Alexander Scott Campbell, H. Schwartz, 2007, Control. Intell. Syst..

Multiple Model Q-Learning for Stochastic Asynchronous Rewards

Sidney Nascimento Givigi, Howard M. Schwartz, Jeffrey S. Campbell, 2016, J. Intell. Robotic Syst..

A Decomposition Method for Positive Semidefinite Matrices and Its Application to Recursive Parameter Estimation

Howard M. Schwartz, Liyu Cao, L. Cao, 2000, SIAM J. Matrix Anal. Appl..

An experimental adaptive fuzzy controller for differential games

Sidney Nascimento Givigi, Howard M. Schwartz, Xiaosong Lu, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

A revised adaptive fuzzy sliding mode controller for robotic manipulators

Howard M. Schwartz, Xiaosong Lu, H. Schwartz, 2008, Int. J. Model. Identif. Control..

Hybrid intelligent systems applied to the pursuit-evasion game

Howard M. Schwartz, Sameh F. Desouky, H. Schwartz, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Frequency Accuracy & Stability Dependencies of Crystal Oscillators

Hui Zhou, Thomas Kunz, Howard M. Schwartz, 2008 .

An adaptive nonlinear output feedback controller for robot manipulators

Howard M. Schwartz, H. Hajjir, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

Deception In The Game of Guarding Multiple Territories: A Machine Learning Approach

Howard M. Schwartz, Mohamed G. B. Atia, Amirhossein Asgharnia, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Compensation of sampled-data robot adaptive controllers for improved stability

Howard M. Schwartz, G. D. Warshaw, 1993, Proceedings of Canadian Conference on Electrical and Computer Engineering.

Stick-slip Friction Compensation for PID Position

Howard M. Schwartz, Liyu Cao, L. Cao, 2000 .

Decentralized learning in pursuit-evasion differential games with multi-pursuer and single-superior evader

Howard M. Schwartz, Mostafa D. Awheda, H. Schwartz, 2016, 2016 Annual IEEE Systems Conference (SysCon).

Robust modeling for image restoration using a modified reduced update Kalman filter

Howard M. Schwartz, Hosni B. Belaifa, 1992, IEEE Trans. Signal Process..

Q(λ)-learning fuzzy logic controller for a multi-robot system

Howard M. Schwartz, Sameh F. Desouky, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Exponential moving average Q-learning algorithm

Howard M. Schwartz, Mostafa D. Awheda, H. Schwartz, 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Real time tactic switching for multiple cooperative UAVs via Model Predictive Control

Shahram Yousefi, Howard M. Schwartz, Ahmed T. Hafez, 2015, 2015 Annual IEEE Systems Conference (SysCon) Proceedings.

Non-Linear Adaptive Output Feedback Control of Robot Manipulators

Howard M. Schwartz, John M. Daly, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Sampled-data robot adaptive control with stabilizing compensation

Howard M. Schwartz, G. D. Warshaw, 1994, Proceedings of 1994 American Control Conference - ACC '94.

An investigation of adaptive fuzzy sliding mode control for robotic manipulators

Howard M. Schwartz, Xiaosong Lu, H. Schwartz, 2007 .

Cooperative Exploration Using Potential Games

Sidney Nascimento Givigi, George Philip, Howard M. Schwartz, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Learning in Multiplayer Stochastic Games

Howard M. Schwartz, H. Schwartz, 2014 .

A two stage learning technique for dual learning in the pursuit-evasion differential game

Howard M. Schwartz, Ahmad A. Al-Talabi, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Trajectory control of robotic manipulators by using a feedback-error-learning neural network

Howard M. Schwartz, Zaryab Hamavand, 1995, Robotica.

A fuzzy reinforcement learning algorithm with a prediction mechanism

Howard M. Schwartz, Mostafa D. Awheda, 2014, 22nd Mediterranean Conference on Control and Automation.

A Brief Review of Supervised Learning

Howard M. Schwartz, 2014 .

Towards robust discrete-time sliding mode observers

Howard M. Schwartz, V. C. Aitken, H. Schwartz, 1995, Proceedings of 1995 American Control Conference - ACC'95.

Sampled-Data Robot Adaptive Control With Stabilizing Compensation

Howard M. Schwartz, Gabriel D. Warshaw, 1996, Int. J. Robotics Res..

Stability And Performance of Sampled-data Robot Adaptive Controllers

Howard M. Schwartz, Hikmet Asmer, Gabriel D. Warshaw, 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

DIAGNOSIS OF TURBINE ENGINE TRANSIENT PERFORMANCE WITH MODEL-BASED PARAMETER ESTIMATION TECHNIQUES

Howard M. Schwartz, Jeff W. Bird, H. Schwartz, 1994 .

Exponential moving average based multiagent reinforcement learning algorithms

Howard M. Schwartz, Mostafa D. Awheda, H. Schwartz, 2016, Artificial Intelligence Review.

The residual gradient FACL algorithm for differential games

Howard M. Schwartz, Mostafa D. Awheda, H. Schwartz, 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

An investigation of methods of parameter tuning for Q-Learning Fuzzy Inference System

Howard M. Schwartz, Ahmad A. Al-Talabi, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Decentralized learning in two-player zero-sum games: A LR-I lagging anchor algorithm

Howard M. Schwartz, Xiaosong Lu, 2011, Proceedings of the 2011 American Control Conference.

Multiple-model Q-learning for stochastic reinforcement delays

Sidney Nascimento Givigi, Howard M. Schwartz, Jeffrey S. Campbell, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Optimal control of a robot manipulator using a weighted time-energy cost function

Howard M. Schwartz, R. Gourdeau, 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

Sampled-data robot adaptive control

Howard M. Schwartz, G. D. Warshaw, 1994 .

Neuromodulated multiobjective evolutionary neurocontrollers without speciation

Howard M. Schwartz, Ian Showalter, H. Schwartz, 2020, Evolutionary Intelligence.

A Reinforcement Learning Adaptive Fuzzy Controller for Differential Games

Sidney Nascimento Givigi, Howard M. Schwartz, Xiaosong Lu, 2010, J. Intell. Robotic Syst..

Stick-slip friction compensation for PID position control

Howard M. Schwartz, Liyu Cao, L. Cao, 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Validation of swarms of robots: theory and experimental results

Sidney Nascimento Givigi, Alain Beaulieu, Howard M. Schwartz, 2012, 2012 7th International Conference on System of Systems Engineering (SoSE).

Complementary results on the stability bounds of singularly perturbed systems

Howard M. Schwartz, Liyu Cao, 2004, IEEE Transactions on Automatic Control.

A Recursive Identification Controller for Trajectory Tracking

Kamal Youcef-Toumi, Howard M. Schwartz, 1987, 1987 American Control Conference.

Swarms of robots based on evolutionary game theory

Howard M. Schwartz, Sidney N. Givigi, S. Givigi, 2007 .

A Direct Adaptive Control Method With Desired Compensation For Robotic Manipulators

Howard M. Schwartz, Hikmet Asmer, Gabriel D. Warshaw, 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Policy Invariance under Reward Transformations for General-Sum Stochastic Games pdf

Sidney Nascimento Givigi, Howard M. Schwartz, Xiaosong Lu, 2011, J. Artif. Intell. Res..

A Residual Gradient Fuzzy Reinforcement Learning Algorithm for Differential Games

Howard M. Schwartz, Mostafa D. Awheda, H. Schwartz, 2017, International Journal of Fuzzy Systems.

An Approach to output Feedback Adaptive Control for robot manipulators

Howard M. Schwartz, John M. Daly, 2008, Int. J. Robotics Autom..

Deception in A Multi-agent Adversarial Game: The Game of Guarding Several Territories

Howard M. Schwartz, Amirhossein Asgharnia, Mohamed Atia, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

A method of modeling, predicting and controlling TMP pulp properties

Howard M. Schwartz, G. Chang, Y. Liu, 1996, Proceeding of the 1996 IEEE International Conference on Control Applications IEEE International Conference on Control Applications held together with IEEE International Symposium on Intelligent Contro.

A Decentralized Fuzzy Learning Algorithm for Pursuit-Evasion Differential Games with Superior Evaders

Howard M. Schwartz, Mostafa D. Awheda, H. Schwartz, 2016, J. Intell. Robotic Syst..

Genetic based fuzzy logic controller for a wall-following mobile robot

Howard M. Schwartz, Sameh F. Desouky, 2009, 2009 American Control Conference.

Analysis of the Kalman filter based estimation algorithm: an orthogonal decomposition approach

Howard M. Schwartz, Liyu Cao, L. Cao, 2004, Autom..

Self-learning fuzzy logic controllers for pursuit-evasion differential games

Howard M. Schwartz, Sameh F. Desouky, H. Schwartz, 2011, Robotics Auton. Syst..

Multi-Agent Machine Learning: A Reinforcement Approach

Howard M. Schwartz, H. Schwartz, 2014 .

Adaptive Control of Robotic Manipulators Using an Extended Kalman Filter

Howard M. Schwartz, Richard Gourdeau, 1993 .

RAIM- an Implementation Study

Howard M. Schwartz, J. M. Brown, D. Kolody, 1989 .

Handling stochastic reward delays in machine reinforcement learning

Sidney Nascimento Givigi, Howard M. Schwartz, Jeffrey S. Campbell, 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

Q(λ)‐learning adaptive fuzzy logic controllers for pursuit–evasion differential games

Howard M. Schwartz, Sameh F. Desouky, H. Schwartz, 2011 .

Map merging of Multi-Robot SLAM using Reinforcement Learning

Sidney Nascimento Givigi, Howard M. Schwartz, Pierre Dinnissen, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

An evaluation of adaptive robot control via velocity estimated feedback

Howard M. Schwartz, Shafiqul Islam, H. Schwartz, 2007 .

Model reference adaptive control for robotic manipulators without velocity measurements

Howard M. Schwartz, 1994 .

Cooperative navigation of unknown environments using potential games

Sidney Nascimento Givigi, George Philip, Howard M. Schwartz, 2014, Int. J. Mechatronics Autom..

Multi-agent learning in the game of guarding a territory

Howard M. Schwartz, Chidozie Vincent Analikwu, 2017 .

A Learning Invader for the “Guarding a Territory” Game

Howard M. Schwartz, Sidney N. Givigi, Hashem Raslan, 2016, Journal of Intelligent & Robotic Systems.

Single‐Agent Reinforcement Learning

Howard M. Schwartz, H. Schwartz, 2014 .

Kalman fuzzy actor-critic learning automaton algorithm for the pursuit-evasion differential game

Howard M. Schwartz, Ahmad A. Al-Talabi, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A comparison of mobile robot pose estimation using nonlinear filters: simulation and experimental results

Howard M. Schwartz, Zongwen Xue, 2015, Int. J. Mechatronics Autom..

Decentralized learning in multiple pursuer-evader Markov games

Howard M. Schwartz, Sidney Givigi, S. Givigi, 2011, 2011 19th Mediterranean Conference on Control & Automation (MED).

On the exponential stability of discrete-time systems with applications in observer design

Howard M. Schwartz, V. C. Aitken, H. Schwartz, 1994, Proceedings of 1994 American Control Conference - ACC '94.

A two stage learning technique using PSO-based FLC and QFIS for the pursuit evasion differential game

Howard M. Schwartz, Ahmad A. Al-Talabi, H. Schwartz, 2014, 2014 IEEE International Conference on Mechatronics and Automation.

Exponential convergence of the Kalman filter based parameter estimation algorithm

Howard M. Schwartz, Liyu Cao, L. Cao, 2003 .

Swarm Intelligence and the Evolution of Personality Traits

Howard M. Schwartz, H. Schwartz, 2014 .

The Kalman filter based recursive algorithm: windup and its avoidance

Howard M. Schwartz, Liyu Cao, 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

Output feedback stabilization of linear systems with a singular perturbation model

Howard M. Schwartz, Liyu Cao, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

On the exponential stability of discrete-time systems with applications in observer design

Howard M. Schwartz, V. C. Aitken, 1994, IEEE Trans. Autom. Control..

Oscillation, Instability and Control of Stepper Motors

Howard M. Schwartz, Liyu Cao, L. Cao, 1999 .