Pages that link to "Item:Q675277"

The following pages link to Identification of nonlinear dynamical systems using multilayered neural networks (Q675277):

Displaying 42 items.

• Peak-to-peak exponential direct learning of continuous-time recurrent neural network models: a matrix inequality approach (Q395779) (← links)
• Some new results on stability of Takagi-Sugeno fuzzy Hopfield neural networks (Q410754) (← links)
• System identification using multilayer differential neural networks: a new result (Q442953) (← links)
• Robust adaptive control via neural linearization and compensation (Q446522) (← links)
• Exponential \(\mathcal H_{\infty}\) stable learning method for Takagi-Sugeno fuzzy delayed neural networks: a convex optimization approach (Q453804) (← links)
• Passive learning and input-to-state stability of switched Hopfield neural networks with time-delay (Q621590) (← links)
• A new robust training law for dynamic neural networks with external disturbance: an LMI approach (Q624433) (← links)
• Nonlinear one-step-ahead control using neural networks: Control strategy and stability design (Q675276) (← links)
• Discrete-time BAM neural networks with variable delays (Q715855) (← links)
• Design and performance analysis of deterministic learning of sampled-data nonlinear systems (Q893700) (← links)
• An \(\mathcal H_{\infty}\) approach to stability analysis of switched Hopfield neural networks with time-delay (Q994807) (← links)
• Identification of nonlinear dynamics using a general-spatio-temporal network (Q1346678) (← links)
• On ``An improved approach for nonlinear system identification using neural networks''. (Q1420540) (← links)
• Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms. (Q1429837) (← links)
• A brief review of neural networks based learning and control and their applications for robots (Q1687400) (← links)
• Dynamic system identification via recurrent multilayer perceptrons (Q1857037) (← links)
• Radial basis function networks for internal model control (Q1893058) (← links)
• A general fuzzy control scheme for nonlinear processes with stability analysis (Q1964178) (← links)
• Comparative study of neural networks for dynamic nonlinear systems identification (Q2001119) (← links)
• Continuous-time system identification with neural networks: model structures and fitting criteria (Q2034176) (← links)
• Lyapunov stability-dynamic back propagation-based comparative study of different types of functional link neural networks for the identification of nonlinear systems (Q2152906) (← links)
• Dual ML-ADHDP method for heterogeneous discrete-time nonlinear multi-agent systems with unknown dynamics and time delay (Q2155776) (← links)
• A deep belief network with PLSR for nonlinear system modeling (Q2181070) (← links)
• Online sequential echo state network with sparse RLS algorithm for time series prediction (Q2185621) (← links)
• Randomized algorithms for nonlinear system identification with deep learning modification (Q2282878) (← links)
• Multiple DNN identifier for uncertain nonlinear systems based on Takagi-Sugeno inference (Q2351593) (← links)
• \(\mathcal L_{2}-\mathcal L_{\infty }\) nonlinear system identification via recurrent neural networks (Q2431028) (← links)
• Robust stability of recurrent neural networks with ISS learning algorithm (Q2434143) (← links)
• Discrete-time bidirectional associative memory neural networks with variable delays (Q2463297) (← links)
• Adaptive self-organizing fuzzy sliding mode controller for a nonlocal strain gradient nanobeam (Q2673611) (← links)
• (Q2704801) (← links)
• Parameter identification of linear systems using Hopfield neural networks (Q2705654) (← links)
• Application of a multi-layered neural network to system identification (Q3141143) (← links)
• Identification of the FitzHugh–Nagumo Model Dynamics via Deterministic Learning (Q3462282) (← links)
• ${\mathcal H}_{\infty}$ WEIGHT LEARNING ALGORITHM OF RECURRENT NEURAL NETWORKS WITH TIME-DELAY (Q3573153) (← links)
• Neural network approach for identification of Hammerstein systems (Q4454755) (← links)
• Neural Networks and Identification of Systems With Unobserved States (Q4694654) (← links)
• of overparametrization in non-linear system identification and neural networks (Q4784556) (← links)
• Automated nonlinear system modelling with multiple neural networks (Q4909006) (← links)
• (Q5701884) (← links)
• A study of packaging identification using fuzzy adaptive neural networks (Q5942668) (← links)
• An artificial neural network approach to identify the parameter in a nonlinear subdiffusion model (Q6177840) (← links)