Search
Search Results
-
Topics in Modal Analysis & Parameter Identification, Volume 9 Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023
Topics in Modal Analysis, Testing & Parameter Identification, Volume 9: Proceedings of the 41st IMAC, A Conference and Exposition on Structural...
-
Parameter synthesis for Markov models: covering the parameter space
Markov chain analysis is a key technique in formal verification. A practical obstacle is that all probabilities in Markov models need to be known....
-
Adaptive Parameter Estimation
The problem of the parameter estimation indicates to obtain the values of parameters from the measurable input and output when the system contains...
-
Ermittlung belastungsrelevanter Parameter
Die Sensoren und Steuergeräte im Fahrzeug sind für die Fahrfunktionen,jedoch nicht für Belastungs- bzw. Festigkeitsuntersuchungen ausgelegt und...
-
Guaranteed Parameter Estimation for Cooperative Models
The parameters of cooperative models are estimated in a boundederror context, i.e., all uncertain quantities are assumed to be bounded, with known...
-
Monitoring variability in parameter estimates for lumped parameter models of the systemic circulation using longitudinal hemodynamic measurements
BackgroundPhysics-based cardiovascular models are only recently being considered for disease diagnosis or prognosis in clinical settings. These...
-
Exploring Artificial Neural Network for X-Parameter and S-Parameter Modelling of HEMT
In this research paper, we have explored the efficiency of artificial neural network (ANN) for the S-parameter and X-parameter modelling of high...
-
Advances in Distributed Parameter Systems
The proposed book presents recent breakthroughs for the control of distributed parameter systems and follows on from a workshop devoted to this...
-
Parameter Learning Algorithms of Hammerstein Nonlinear Systems
This paper deals with the modeling and parameter estimation of Hammerstein systems from samples of input and output data. Compared with the previous...
-
State Parameter Based Liquefaction Probability Evaluation
The relative density and effective stress of the soil influence the cyclic stress or liquefaction behaviour of granular soil significantly. The state...
-
Parameter identification of multibody vehicle models using neural networks
In this study, a methodology for the identification of parameters of multibody vehicle models using neural networks is proposed. A neural network is...
-
Lagrange Interpolation Approach for General Parameter-Shift Rule
A parameter-shift rule is a circuit-based approach to evaluate the analytic differential in various variational quantum algorithms. Meanwhile,...
-
Application of Deep Neural Networks for the Parameter Identifications of Lumped and Distributed Parameter Models Under Severe Noises and Various Initial Values
PurposeIdentifying unknown parameters has long been significant in the field of engineering, as they can be used for fault diagnosis and the...
-
Effect of Troposphere Parameter Estimation on BDS PPP
To investigate the effect of the tropospheric wet delay parameter estimation on BDS precision point positioning (PPP), observations from 13 global...
-
Novel Payload Parameter Sensitivity Analysis on Observation Accuracy of Lightweight Electric Vehicles
Lightweight electric vehicles (LEVs) possess great advantages in the viewpoint of fuel consumption, environment protection and traffic mobility....
-
On convergence of covariance matrix of empirical Bayes hyper-parameter estimator
Regularized system identification has become the research frontier of system identification in the past decade. One related core subject is to study...
-
Switching Polytopic Linear Parameter-varying Control for Hypersonic Vehicles in Full Envelope
Gain scheduling control of hypersonic vehicles (HVs) in full envelope is studied utilizing switching polytopic linear parameter-varying (LPV) method....
-
Singular Value Decomposition of the First Markov Parameter
As it has been observed in Chapter 4 the first nonzero Markov parameter of a linear discrete-time system (2.1) carries some amount of information...
-
Parameter estimation of fractional uncertain differential equations
Fractional uncertain differential equations are used for forecast in this paper. It is crucial to provide an accurate estimation method since...
-
Adaptive neural networks control for uncertain parabolic distributed parameter systems with nonlinear periodic time-varying parameter
This paper studies the problem of adaptive neural networks control (ANNC) for uncertain parabolic distributed parameter systems (DPSs) with nonlinear...