Results 81 to 90 of about 36,602 (258)
On the design of LQR kernels for efficient controller learning [PDF]
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017 Finding optimal feedback controllers for nonlinear dynamic systems from data is hard. Recently, Bayesian optimization (BO) has been proposed as a powerful framework for direct controller tuning from experimental trials. For selecting the next query point and finding the global optimum, BO relies on a probabilistic description of the latent objective ...
Alonso Marco +3 more
openaire +3 more sources
Synthesis of Minimal Error Control Software
, 2012 Software implementations of controllers for physical systems are at the core of many embedded systems. The design of controllers uses the theory of dynamical systems to construct a mathematical control law that ensures that the controlled system has ...
Majumdar, Rupak +2 more
core +2 more sources
International Insolvency Review, EarlyView.Abstract This paper conducts a comparative legal analysis of corporate restructuring frameworks in England and Bhutan, examining their capacity to integrate climate variability considerations and promote sustainable business practices. It discusses the procedural mechanisms for restructuring financially distressed enterprises available under the law of
Eugenio Vaccari, Migmar Lham
wiley +1 more source
Theory of Optimal Transportation Over LQR: Free-Final-States Compared to Fixed-Final-States
IEEE AccessIn this paper, we address the optimal transport problem over a linear quadratic regulator with free-final-states (the free OT-LQR problem). We prove the existence and uniqueness of the solution and discuss the regularity conditions for the optimal ...
Mahdi H. Azad, Nima Assadian
doaj +1 more source
Multi-objective optimization of LQR control quarter car suspension system using genetic algorithm [PDF]
FME Transactions, 2016 In this paper, genetic algorithm (GA) based multi-objective optimization technique is presented to search optimum weighting matrix parameters of linear quadratic regulator (LQR). Macpherson strut suspension system is implemented for study.
Nagarkar M.P., Patil Vikhe G.J.
doaj
Inertial‐Based LQG Control: A New Look at Inverted‐Pendulum Stabilization
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Linear‐quadratic Gaussian (LQG) control is a well‐established method for optimal control through state estimation, particularly in stabilizing an inverted pendulum on a cart. In standard laboratory setups, sensor redundancy enables direct measurement of configuration variables using displacement sensors and rotary encoders. However, in outdoor
Daniel Engelsman, Itzik Klein
wiley +1 more source
A Singularity-Robust LQR Controller for Parallel Robots [PDF]
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component
Bordalba Llaberia, Ricard +2 more
openaire +3 more sources
Sản xuất khí sinh học từ nước thải chăn nuôi heo với lồng quay sinh học yếm khí giá thể rơm
Tạp chí Khoa học Đại học Cần Thơ, 2016 Nghiên cứu “Sản xuất khí sinh học từ nước thải chăn nuôi heo với lồng quay sinh học yếm khí giá thể rơm” được triển khai nhằm đánh giá khả năng sử dụng rơm làm giá thể cho mô hình lồng quay sinh học yếm khí để xử lý chất thải chăn nuôi và làm chất nền ...
Lê Hoàng Việt +3 more
doaj +1 more source
Optimal control of cuk converter using LQR [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2023 In this paper, linear quadratic regulator (LQR) control is applied to a Cuk converter, and mathematical modeling of the converter is done using state space averaging (SSA) in continuous conduction mode (CCM). The primary focus is to design a controller
Deepak Kumar Singh +2 more
doaj
A Two Degree of Freedom Approach for Discrete‐Time Sliding Mode Control
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper proposes a new two degree of freedom (2‐DOF) framework for discrete‐time sliding mode control (DSMC) that decouples the disturbed evolution from its nominal counterpart. The novel nominal/disturbed subsystem separation for DSMC can be used to define multiple closed‐loop specifications. The nominal regulation (or tracking) controller
Tito L. M. Santos, Ary M. Batista
wiley +1 more source