This paper addresses the computation of frequency responses of plants with uncertain parameters using symbolic computation. A computation-ally tractable procedure is developed based on a Jocobian-like technique where a general uncertain structure including nonlinear can be dealt with. This procedure is applied to computing the frequency responses of a vehicle clutch system and the longitudinal ...

With the rapid development of Internet, mobile networks and high-performance networking technology, QoS multicast routing in networks with uncertain parameters has become a very important research issue in the areas of networks and distributed systems. This is also a challenging and hard problem for the next generation Internet and high-performance networks. It attracts the interests of many pe...

The last few years witnessed an increasing interest in the problem of control synthesis of nonlinear systems. A recently derived stability criterion for nonlinear systems –which has a remarkable convexity property– and the development of numerical methods for verification of positivity allows the computation –via semidefinite programming– of stabilizing controllers for the case of systems with ...

Forced vibration analysis of plate is growing research subject as plates are used for manufacturing many mechanical structures. The analytical solutions have been found for plates with specified mass and stiffness but for the plates with uncertain mass and stiffness are studied very limitedly. The uncertain parameters play an important role in the design of practical mechanical system. It becom...

The paper discusses lag synchronization of Lorenz chaotic system with three uncertain parameters. Based on adaptive technique, the lag synchronization of Lorenz chaotic system is achieved by designing a novel nonlinear controller. Furthermore, the parameters identification is realized simultaneously. A sufficient condition is given and proved theoreticcally by Lyapunov stability theory and LaSa...

The robust stabilization problem of chaos suppression for permanent magnet synchronous motors (PMSM) drive system is investigated in presence of parametric uncertainties. Based on control Lyapunov function (CLF) approach, a new state feedback controller is designed to realize the state of the system globally asymptotically stable. The stability of the proposed control scheme is verified via Lya...

This article addresses control for the chaos synchronization of hyperchaotic Chen system with five uncertain parameters. Based on the Lyapunov stability theory, an adaptive control law is derived to make the states of two identical hyperchaotic Chen systems asymptotically synchronized. Finally, a numerical simulations is presented to show the effectiveness of the proposed chaos synchronization ...

Introduction. Statistical information for LCA is increasingly becoming available in databases. At the same time, processing of statistical information is increasingly becoming easier by software for LCA. A practical problem is that there is no unique unambiguous representation for statistical distributions. Representations. This paper discusses the most frequently encountered statistical distri...

The Buckley–Leverett (nonlinear advection) equation is often used to describe twophase flow in porous media. We develop a new probabilistic method to quantify parametric uncertainty in the Buckley–Leverett model. Our approach is based on the concept of a fine-grained cumulative density function (CDF) and provides a full statistical description of the system states. Hence, it enables one to obta...