Results 41 to 50 of about 13,802,454 (213)

Performance change detection and recovery in inferential control loops

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley   +1 more source

An Improved Onboard Adaptive Aero-Engine Model Based on an Enhanced Neural Network and Linear Parameter Variance for Parameter Prediction

Energies
Achieving measurable and unmeasurable parameter prediction is the key process in model-based control, for which an accurate onboard model is the most important part.
Shuwei Pang, Haoyuan Lu, Qiuhong Li, Ziyu Gu   +3 more
doaj   +1 more source

Design of LPV-Based Sliding Mode Controller with Finite Time Convergence for a Morphing Aircraft

International Journal of Aerospace Engineering, 2017
This paper proposes a finite time convergence sliding mode control (FSMC) strategy based on linear parameter-varying (LPV) methodology for the stability control of a morphing aircraft subject to parameter uncertainties and external disturbances. Based on
Nuan Wen, Zhenghua Liu, Yang Sun, Lingpu Zhu   +3 more
doaj   +1 more source

Optimal Lithium‐Ion Battery—Supercapacitor Energy Storage System Capacity for Off‐Grid Intermittent Renewable Energy Mini‐Grids

Energy Science &Engineering, EarlyView.
Deployment of an aging‐based controller during designing of optimal lithium‐ion battery—supercapacitor (LB‐Sc) hybrid energy storage system (HESS) capacity, in off‐grid IREMGs, improves performance of the LB and reduces its aging rate. Also, annualised cost of the LB‐Sc HESS improves by 33.15% in relation to optimal LB SESS.
Isaac Gwayi, Cuthbert Z. M. Kimambo, Sarah Paul Ayeng'o   +2 more
wiley   +1 more source

A new LPV modeling approach using PCA-based parameter set mapping to design a PSS

Journal of Advanced Research, 2017
This paper presents a new methodology for the modeling and control of power systems based on an uncertain polytopic linear parameter-varying (LPV) approach using parameter set mapping with principle component analysis (PCA).
Mohammad B. Abolhasani Jabali, Mohammad H. Kazemi   +1 more
doaj   +1 more source

Observer-Based Predictive Control of Nonlinear Clutchless Automated Manual Transmission for Pure Electric Vehicles: An LPV Approach

IEEE Access, 2021
This study develops a novel robust control approach for a nonlinear clutchless automated manual transmission (CAMT) in pure electric vehicles. The developed approach comprises model predictive control (MPC), observer, and polytopic linear parameter ...
Mohammad Saeid Akbari, Mohammad Hassan Asemani, Navid Vafamand, Saleh Mobayen, Afef Fekih   +4 more
doaj   +1 more source

Sliding Mode Control in Aerospace Applications: A Survey

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley   +1 more source

Identification of LPV partial differential equation models [PDF]

52nd IEEE Conference on Decision and Control, 2013
This paper deals with the identification of linear parameter varying (LPV) models described by partial differential equations (PDE). A direct identification of continuous space-time LPV-EDP systems in an input-output setting is investigated in the case of an additive output noise.
Julien Schorsch, Marion Gilson, Vincent Laurain, Hugues Garnier   +3 more
openaire   +3 more sources

On Local LTI Model Coherence for LPV Interpolation [PDF]

IEEE Transactions on Automatic Control, 2020
In the local approach to linear parameter varying (LPV) system identification, it is widely acknowledged that locally estimated linear state-space models should be made coherent before being interpolated, but the accurate meaning of the term " coherent " or " coherence " is rarely defined.
Qinghua Zhang 0002, Lennart Ljung, Rik Pintelon   +2 more
openaire   +3 more sources

Validation of Neural Network Controllers for Uncertain Systems Using the Keep‐Close Approach: Robustness Analysis and Safety Verification

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The safety verification of neural network (NN) controllers operating in uncertain environments characterized by unmodeled dynamics, nonlinearities, and time delays remains a fundamental challenge in robust control analysis. This article introduces a novel method, termed Keep‐Close, for analyzing the performance and robustness of uncertain ...
Abdelhafid Zenati, Nabil Aouf
wiley   +1 more source