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Cautious Bayesian Optimization for Efficient and Scalable Policy Search

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Continuous Finite-Time Active Disturbance Rejection Control With Application to DC Motor

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Data to Controller for Nonlinear Systems: An Approximate Solution

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Data-Efficient Domain Randomization With Bayesian Optimization

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Design of a Neural Controller Using Reinforcement Learning to Control a Rotational Inverted Pendulum

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Development of Attachments for the Quanser Qube

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Discrete-time differentiators in closed-loop control systems: experiments on electro-pneumatic system and rotary inverted pendulum

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Embedded model control for underactuated systems: An application to Furuta pendulum

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Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems

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Fuzzy rule-based set point weighting for fuzzy PID controller

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Information-Loss-Bounded Policy Optimization.

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Practical Realization of Implicit Homogeneous Controllers for Linearized Systems

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Upgrading linear to sliding mode feedback algorithm for a digital controller

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Analytical design of Proportional Derivative Controller for Interval System: Experimental Validation on Servo System

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Bayesian Domain Randomization for Sim-to-Real Transfer

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Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection

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Comparative Performance Study of Optimal Interval Type-2 Fuzzy PID Controllers with Practical System

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Cooperative Output Regulation of Networked Motors Under Switching Communication and Detectability Constraints

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Design of a robust controller for a rotary motion control system: disturbance compensation approach

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Federated Reinforcement Learning for Automatic Control in SDN-based IoT Environments

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Federated Reinforcement Learning for Controlling Multiple Rotary Inverted Pendulums in Edge Computing Environments

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Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices

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Implementation of ACO Tuned Modified PI-like Position and Speed Control of DC Motor: An Application to Electric Vehicle

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Implementing Homomorphic Encryption Based Secure Feedback Control for Physical Systems

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Integration of First-Order Low Pass Filter with Proportional-Derivative (PD) Controller

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Nature-inspired and hybrid optimization algorithms on interval Type-2 fuzzy controller for servo processes: a comparative performance study

On IMC-Based PID Tuning Using Gain-Integrator-Delay Dynamics

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Performance Enhancement of Motion Control Systems Through Friction Identification and Compensation

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Recursive least squares based sliding mode approach for position control of DC motors with self-tuning rule

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Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization

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Robust Non-Minimal State Feedback Control for a Furuta Pendulum with Parametric Modelling Errors

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Switching Stabilization for Nonlinear Networked Control Systems with Delays and Packet Losses

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Two-scale command shaping for arresting motion in nonlinear systems

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Underactuated Waypoint Trajectory Optimization for Light Painting Photography

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Variational Nonlinear System Identification

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Variational State and Parameter Estimation

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Weighted Internal Model Control-Proportional Integral Derivative Control Scheme Via Fractional Gradient Descent Algorithm

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A Miniaturized Industrial Plant for Educational Purpose in Industrial Control

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A swinging up controller for the Furuta pendulum based on the Total Energy Control System approach

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Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware

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Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems

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Deep Q-Network Based Rotary Inverted Pendulum System and Its Monitoring on the EdgeX Platform

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Digital Implementation of Homomorphically Encrypted Feedback Control for Cyber-Physical Systems

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Enhancing a Control Systems Design Course by Using Experiential Learning Model

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Meta-Learning Acquisition Functions for Bayesian Optimization

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Pole Placement for Time-Delayed Systems Using Galerkin Approximations

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Robust exploration in linear quadratic reinforcement learning

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