Search Results - "Rizvi, Syed Ali Asad"

Reinforcement Learning-Based Linear Quadratic Regulation of Continuous-Time Systems Using Dynamic Output Feedback by Rizvi, Syed Ali Asad, Lin, Zongli

“…In this paper, we propose a model-free solution to the linear quadratic regulation (LQR) problem of continuous-time systems based on reinforcement learning…”
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A Note on State Parameterizations in Output Feedback Reinforcement Learning Control of Linear Systems by Rizvi, Syed Ali Asad, Lin, Zongli

“…This note presents an analysis of the state parameterizations used in output feedback reinforcement learning (RL) control. Output feedback algorithms based on…”
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Output Feedback Q-Learning Control for the Discrete-Time Linear Quadratic Regulator Problem by Rizvi, Syed Ali Asad, Lin, Zongli

“…Approximate dynamic programming (ADP) and reinforcement learning (RL) have emerged as important tools in the design of optimal and adaptive control systems…”
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Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems by Rizvi, Syed Ali Asad, Pertzborn, Amanda J., Lin, Zongli

“…This paper presents the design of an optimal controller for solving tracking problems subject to unmeasurable disturbances and unknown system dynamics using…”
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Adaptive Dynamic Programming for Model-Free Global Stabilization of Control Constrained Continuous-Time Systems by Rizvi, Syed Ali Asad, Lin, Zongli

“…This article addresses the problem of global stabilization of continuous-time linear systems subject to control constraints using a model-free approach. We…”
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Polymeric Sulfated Amino Acid Surfactants:  A Class of Versatile Chiral Selectors for Micellar Electrokinetic Chromatography (MEKC) and MEKC-MS by Rizvi, Syed Asad Ali, Zheng, Jie, Apkarian, Robert P, Dublin, Steven N, Shamsi, Shahab A

“…In this work, three amino acid-derived (l-leucinol, l-isoleucinol, l-valinol) sulfated chiral surfactants are synthesized and polymerized. These chiral…”
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Optimal control of a two‐wheeled self‐balancing robot by reinforcement learning by Guo, Linyuan, Rizvi, Syed Ali Asad, Lin, Zongli

“…Summary This article concerns optimal control of the linear motion, tilt motion, and yaw motion of a two‐wheeled self‐balancing robot (TWSBR). Traditional…”
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An iterative Q‐learning scheme for the global stabilization of discrete‐time linear systems subject to actuator saturation by Rizvi, Syed Ali Asad, Lin, Zongli

“…Summary In this paper, we propose a model‐free algorithm for global stabilization of linear systems subject to actuator saturation. The idea of gain‐scheduled…”
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Wind Turbine System based Virtual Synchronous Generator Control for Microgrid Frequency Regulation by Rehman, Haseeb Ur, Yan, Xiangwu, Jan, Mishkat Ullah, Abdelbaky, Mohamed Abdelkarim, Iqbal, Sheeraz, Egamnazarova, Tamara, Ali Rizvi, Syed Asad Abbas

“…The power system is dominated by the renewable energy resources since last two decades. The main cause behind this enormous deployment of RES is to combat the…”
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Experience replay–based output feedback Q‐learning scheme for optimal output tracking control of discrete‐time linear systems by Rizvi, Syed Ali Asad, Lin, Zongli

“…Summary This paper focuses on solving the adaptive optimal tracking control problem for discrete‐time linear systems with unknown system dynamics using output…”
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Development of a Bias Compensating Q-Learning Controller for a Multi-Zone HVAC Facility by Asad Rizvi, Syed Ali, Pertzborn, Amanda J., Lin, Zongli

“…We present the development of a bias compensating reinforcement learning (RL) algorithm that optimizes thermal comfort (by minimizing tracking error) and…”
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Output Feedback Reinforcement Learning Control for the Continuous-Time Linear Quadratic Regulator Problem by Rizvi, Syed Ali Asad, Zongli Lin

“…In this paper, we present an output feedback reinforcement learning scheme to solve the LQR problem for continuous-time linear systems. The problem consists of…”
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Output feedback Q-learning for discrete-time linear zero-sum games with application to the H-infinity control by Rizvi, Syed Ali Asad, Lin, Zongli

“…Approximate dynamic programming techniques usually rely on the feedback of the measurement of the complete state, which is generally not available in practical…”
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Polymeric alkenoxy amino acid surfactants: V. Comparison of carboxylate and sulfate head group polymeric surfactants for enantioseparation in MEKC by Rizvi, Syed Asad Ali, Shamsi, Shahab A.

“…In this work, six amino acid derived (L‐leucinol, L‐leucine, L‐isoleucinol, L‐isoleucine, L‐valinol, and L‐valine) polymeric chiral surfactants with…”
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Stealthy False Data Injection Attack on Unmanned Aerial Vehicles with Partial Knowledge by Mughal, Umair Ahmad, Ismail, Muhammad, Rizvi, Syed Ali Asad

“…Unmanned aerial vehicles (UAVs) are widely used for military and civilian applications. Despite their wide adoption, they are vulnerable to cyber-attacks,…”
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Polymeric alkenoxy amino acid surfactants: IV. Effects of hydrophobic chain length and degree of polymerization of molecular micelles on chiral separation of β-blockers by Rizvi, Syed Asad Ali, Shamsi, Shahab A.

“…Four alkenoxy leucine‐based surfactants with C8–C11 chains containing a terminal double bond, and one C11 chain surfactant with a terminal triple bond are…”
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Chiral separations in microemulsion electrokinetic chromatography: Use of micelle polymers and microemulsion polymers by Iqbal, Rashid, Rizvi, Syed Asad Ali, Akbay, Cevdet, Shamsi, Shahab A.

“…In this study, microemulsions of the chiral surfactant polysodium N-undecenoyl- d-valinate (poly- d-SUV) was utilized for enantiomeric separation by…”
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Experimental Results of a Disturbance Compensating Q-learning Controller for HVAC Systems by Asad Rizvi, Syed Ali, Pertzborn, Amanda J.

“…We present the experimental results of our recently proposed disturbance compensating Q-learning algorithm that learns the optimal setpoints for a building…”
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Reinforcement Learning for Optimal Stabilization of Magnetically Suspended Balance Beam Subject to Input Delay by Ali Asad Rizvi, Syed, Wei, Yusheng, Lin, Zongli

“…In this paper, we present a delay compensating Q-learning algorithm for solving the optimal stabilization problem of a magnetically suspended balance beam…”
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Output feedback adaptive dynamic programming for linear differential zero-sum games by Rizvi, Syed Ali Asad, Lin, Zongli

“…This paper addresses the problem of finding optimal output feedback strategies for solving linear differential zero-sum games using a model-free approach based…”
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