Construction of Nordsieck Second Derivative General Linear Methods with Inherent Quadratic Stability [PDF]
Mathematical Modelling and Analysis, 2017 This paper describes the construction of second derivative general linear methods in Nordsieck form with stability properties determined by quadratic stability functions. This is achieved by imposing the so–called inherent quadratic stability conditions.
Akram Movahedinejad +2 more
doaj +5 more sources
Implementation of explicit Nordsieck methods with inherent quadratic stability [PDF]
Mathematical Modelling and Analysis, 2013 The present paper deals with the implementation in a variable-step algorithm of general linear methods in Nordsieck form with inherent quadratic stability and large stability regions constructed recently by Braś and Cardone. Various implementation issues
Michel Bras +2 more
doaj +6 more sources
Nordsieck methods with inherent quadratic stability [PDF]
Mathematical Modelling and Analysis, 2011 We derive suffcient conditions which guarantee that the stability polynomial of Nordsieck method for ordinary differential equations has only two nonzero roots. Examples of such methods up to order four are presented which are A-and L-stable.
M. Braś
doaj +4 more sources
Efficient General Linear Methods of High Order with Inherent Quadratic Stability [PDF]
Mathematical Modelling and Analysis, 2014 We search for general linear methods with s internal stages and r = s + 1 external stages of order p = s + 1 and stage order q = s. We require that stability function of these methods has only two non-zero roots.
Michal Bras, Zdzislaw Jackiewicz
doaj +4 more sources
Incremental model predictive control of PMSM based on parameter tuning of multi-layer perceptron neural network and disturbance observer [PDF]
Scientific ReportsTo enhance the control performance of permanent magnet synchronous motors (PMSM) under complex operating conditions such as sudden load changes and parameter perturbations caused by strong external disturbances, this paper proposes an incremental model ...
Guangyong Yu +3 more
doaj +2 more sources
Designing implicit population learners: a permutation-equivariant state space approach for brain disease diagnosis [PDF]
Frontiers in Computational NeuroscienceIntroductionGroup-aware learning has recently emerged as a promising paradigm for neuroimaging-based disease diagnosis, as population-level interactions can provide complementary information beyond individual imaging features.
Chuan Yang, Chuan Yang
doaj +2 more sources
Construction of efficient general linear methods for non-stiff differential systems
Mathematical Modelling and Analysis, 2012 This paper describes the construction of explicit general linear methods in Nordsieck form with inherent quadratic stability and large areas of the stability region.
Michal Bra´s, Angelamaria Cardone
doaj +1 more source
Frontiers in Robotics and AI, 2023 Recent investigations of the electric braking booster (E-Booster) focus on its potential to enhance brake energy regeneration. A vehicle’s hydraulic system is composed of the E-Booster and electric stability control to control the master cylinder and ...
Mingming Mei +4 more
doaj +1 more source
Systems Science & Control Engineering, 2017 This paper presents a novel $ {H_2} - {H_\infty } $ state-dependent Riccati equation (SDRE) control approach with the purpose of providing a more effective control design framework for continuous-time nonlinear systems to achieve a mixed nonlinear ...
Xin Wang +3 more
doaj +1 more source
H2−H∞ control of discrete-time nonlinear systems using the state-dependent Riccati equation approach
Systems Science & Control Engineering, 2017 A novel H2−H∞ State-dependent Riccati equation control approach is presented for providing a generalized control framework to discrete-time nonlinear system.
Xin Wang +3 more
doaj +1 more source