An adaptive tracking control scheme is presented for fractional-order chaotic systems with uncertain parameter. It is theoretically proved that this approach can make the uncertain parameter fractional-order chaotic system track any given reference signal and the uncertain system parameter is estimated through the adaptive tracking control process. Furthermore, the reference signal may belong t...

In this paper, interval simulation methods are presented to determine guaranteed enclosures of state variables of an activated sludge process in biological wastewater treatment. This process is characterized by nonlinearities and uncertain but bounded parameters. In uncertain systems an axis-parallel interval box is mapped to a complexly shaped region in the state space that represents sets of ...

Uncertain logic is a branch of multi-valued logic for dealing with subjective information, which explains formulas as uncertain variables and defines their truth values as uncertain measures. In this paper, uncertain satisfiability is proposed to verify the consistency of a set of truth values for the formulas. Furthermore, for a set of satisfiable formulas with given truth values, the problem ...

  Uncertainty plays a major role in any project evaluation and management process. One of the trickiest parts of any production project work is its cost and time forecasting. Since in the initial phases of production projects uncertainty is at its highest level, a reliable method of project scheduling and cash flow generation is vital to help the managers reach successful implementation of the ...

Recently, uncertain data objects is used in various applications such as VANET environment, sensors applications, image processing based system etc. Clustering of uncertain data is a major concept in data mining since more and more applications, such as sensor database, location database, biometric information systems, and produce vague and imprecise data. Clustering of uncertain data objects i...

The intuitionistic uncertain fuzzy linguistic variable can easily express the fuzzy information, and the power average (PA) operator is a useful tool which provides more versatility in the information aggregation procedure. At the same time, Einstein operations are a kind of various t-norms and t-conorms families which can be used to perform the corresponding intersections and unions of intuiti...

As a general goal of process development and design, process intensification aims at substantially improving process performance with a wide spectrum of chemical engineering skills.1 One important area, where process intensification can play a crucial role, is to handle uncertainty. An intensified process system design that considers varying input parameters can result in a more reliable set of...

Additive Manufacturing (AM) is a process of making a Three-Dimensional (3D) solid object of virtually any shape from a digital model that is used for both prototyping and distributed manufacturing with applications in many fields, such as dental and medical industries and biotech (human tissue replacement). AM refers to technologies that create objects through a sequential layering process. AM ...