Disturbance modeling and design of state estimators for offset-free Model Predictive Control (MPC) with linear state-space process models is considered in the paper for deterministic constant-type external and internal disturbances (modeling errors). The application and importance of constant state disturbance prediction in the state-space MPC controller design is presented. In the case with a ...

ABSTRACT In the development of high-assurance systems, formal modeling, analysis and verification techniques are playing an increasingly important role. In spite of significant advances, formal modeling and verification still suffers from limited applicability due to exponential runtime space growth exibited by model checkers. In this paper, we describe an alternative to model checking. We desc...

Rule-based modeling languages such as Kappa [11,7] and BNGL [3,2] allow for a concise description of combinatorially complex biochemical processes as well as efficient simulations of the resulting models [8,7]. A key aspect of the rule-based modeling approach is to partially expose the structure of the chemical species involved. However, the above-mentioned languages do not provide means to dir...

we introduce a model for prediction the behavior of electrodes which modified withcarbon nanotubes in a polymer medium. these kinds of polymer composites aredeveloped in recent years, and experimental data for its percolation threshold isavailable. we construct a model based on percolation theory and fractal dimensionsand using experimental percolation threshold for calculating the moments of c...

Although the state space approach for estimating multilevel regression models has been well established for decades in the time series literature, it does not receive much attention from educational and psychological researchers. In this article, we (a) introduce the state space approach for estimating multilevel regression models and (b) extend the state space approach for estimating multileve...

We describe a scalable incomplete boundedness test for the communication buffers in UML RT models. UML RT is a variant of the UML modeling language, tailored to describing asynchronous concurrent embedded systems. We reduce UML RT models to systems of communicating finite state machines (CFSMs). We propose a series of further abstractions that leaves us with a system of linear inequalities. Tho...

To enable the use of traditional tools for analysis of multivariable controllers such as model predictive control (MPC), we develop a state space formulation for the resulting controller for MPC without constraints or assuming that the constraints are not active. Such a derivation was not found in the literature. The formulation includes a state estimator. The MPC algorithm used is a receding h...

context:in this review, we discuss empirical and stoichiometric models, which have been developed recently in ssf processes and the influence of environmental conditions on the variables of these models. additionally, new studies on modeling of product formation are also mentioned. evidence acquisition:solid-state fermentation (ssf) is recognized as a cheap process for producing many valuable p...