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Economics of TWDM PONs with Nonlinear Pricing
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This article develops an analytical model to describe the economics of TWDM PONs. The network operator is modeled as a profit maximizer that offers multiple subscription plans. The end-users either select one of these offers or refrain from availing the service. In this...

An Adaptive Bilevel Programming Model for Nonparametric Prediction Intervals of Wind Power Generation
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

It is hard to obtain precise wind power forecasting due to the chaotic nature of weather systems. Prediction intervals (PIs) become an efficient tool to quantify the uncertainty involved in wind power forecasting. Traditional central prediction intervals are widely produced by forecasters, however,...

Novel Nonlinear Hypothesis for the Delta Parallel Robot Modeling
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In previous investigations, the nonlinear hypothesis use the linear bounded maps. Nonlinear hypothesis are described as the combination of the first order terms, and after of the mentioned combination, one bounded map is applied to alter the result. This document proposes two...

Perception-driven Motion Control Based on Stochastic Nonlinear Model Predictive Controllers
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In mobile robotics, constraints may represent mobility issues, vision uncertainties or localization uncertainties. In model predictive control (MPC) theory, constraint satisfaction is typically guaranteed through the use of accurate prediction models or robust control. However,...

An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In recent years, efficient optimization algorithms for Nonlinear Model Predictive Control (NMPC) have been proposed, that significantly reduce the on-line computational time. In particular, direct multiple shooting and Sequential Quadratic Programming (SQP) are used to...

A Neurodynamic Model to Solve Nonlinear Pseudo-Monotone Projection Equation and Its Applications
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, a neurodynamic model is given to solve nonlinear pseudo-monotone projection equation. Under pseudo-monotonicity condition and Lipschitz continuous condition, the projection neurodynamic model is proved to be stable in the sense of Lyapunov, globally...

Nonlinear Constrained Optimal Control of Wave Energy Converters with Adaptive Dynamic Programming
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, we address the energy maximization problem of wave energy converters (WEC) subject to nonlinearities and constraints, and present an efficient online control strategy based on the principle of adaptive dynamic programming (ADP) for solving the associated...

Structural Risk Minimisation-Driven Genetic Programming for Enhancing Generalisation in Symbolic Regression
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Generalisation ability, which reflects the prediction ability of a learnt model, is an important property in genetic programming for symbolic regression. Structural risk minimisation is a framework providing a reliable estimation of the generalisation...

Collision-free Navigation of Autonomous Vehicles using Convex Quadratic Programming-based Model Predictive Control
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Collision-free navigation of autonomous vehicles by means of convex quadratic programming (CQP)-based model predictive control (MPC) is considered in this paper. A new collision-free navigation function is designed for real time collision avoidance of autonomous vehicle...

Qubit Neural Tree Network with Applications in Nonlinear System Modeling
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper proposed a newly quantum-inspired Qubit neural tree network with improved Qubit neuron, cross-layer connections and distinct phase operation functions for each neurons. A hybrid evolutionary algorithm that combines the modified gene expression programming with...

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