chapter
Numerous physical processes are modeled by partial differential equations and are often instrumented with boundary actuators and sensors. A major new effort has been underway in recent years to develop constructive designs of boundary control laws for unstable PDE systems. This development draws upon the ideas of "backstepping" synthesis for nonlinear ODEs from the 1990s and is an infinite-dimensional,...
chapter
Networked control systems (NCS) are an active area of research within control and estimation. Networked control systems have many advantages by comparison with the traditional ones. The fault detection problem is studied in this paper for a class of linear networked control systems (NCS) with communication delays. Aim is to generate residual signals which, in the fault free case, are supposed to be...
chapter
Although the control of an FCC plant includes all the hardware components of the process, it is at the FCC reactor-regenerator system that the control is the most critical. This is mainly due to the strong interaction between the reactor and regenerator units. As a result, the reactor-regenerator system presents a highly nonlinear behavior and is therefore a challenge for control tasks. This paper...
chapter
This paper attempts an as exhaustive as possible review of the control methods dedicated to optimizing the dynamic behavior of variable-speed wind energy conversion systems (WECS) from various viewpoints. Different performance criteria can be defined for WECS - e.g., the energy optimization can be achieved by operating the system at variable speed. The exploitation experience and grid-integration...
chapter
This work gives improvement of gradient learning algorithms for adjusting neural network weights. Suggested improvement results in alternative method that converge in less iteration and is inherently parallel, convenient for implementation on computer grid. Experimental results show time savings in multiple thread execution for a wide range of MLP neural network parameters, such as size of input/output...
chapter
In this work, we present a novel methodology based on a dynamic Bayesian network for the estimation of car drivers stress produced due to specific driving events. the proposed methodology monitors driverpsilas stress using selected biosignals and provides a probabilistic framework in order to infer the driving events resulting in stress level increase. We conducted a series of experiments under real...
chapter
In this paper a number of approaches to design a soft sensor for an industrial plant in case of small data set are compared. In particular different strategies to aggregate suboptimal models obtained by bootstrapped neural networks and noise injection are considered. An industrial case of study, consisting in the estimation of the T95% of a Thermal Cracking Unit (TCU) of a refinery in Sicily is considered...
chapter
This article presents an Hinfin control design method based on the acceleration sensitivity (AS) function. This approach can be applied to any fully actuated generalized second order system. In this framework, classical modal specifications (pulsations / damping ratios) are expressed in terms of Hinfin templates allowing other frequency domain specifications to be taken into account. Finally, a comparison...
chapter
This paper reports the basic properties and robust control of a vehicle-trailer combination crosswind disturbance conditions. In practice it is known that unstable roll movements may occur, especially with unfavorable combinations of vehicle and trailer conditions, operating slightly above the permissible maximum speed. This may lead to accidents mostly due to improper driver behavior. First we present...
chapter
This paper proposes a general method for dealing with state estimation under nonlinear state soft inequality constraints. This method is based on the projection approach, and then has the advantage to be compatible with any kind of state estimator. In order to be taken into account, the nonlinear constraints are linearized about the constrained state using an iterated approach. The proposed algorithm...
chapter
This paper is aimed to application of simple continuous-time robust regulators of PI and PID type designed through general solutions of Diophantine equations in the ring of proper and stable rational functions to control of temperature in laboratory model of hot-air tunnel of which mathematical model is supposed to include parametric uncertainty. One of the main advantages of the proposed algebraic...
chapter
This paper deals with the design of reduced order observers for a class of nonlinear descriptor systems. The order of these observer is qlesn , where n is the dimension of the semi state. A new method is presented, the conditions for the existence of these observers are given and sufficient conditions for their stability are derived using linear matrix inequalities (LMIs) formulation. A numerical...
chapter
This work is based on research in a field of intelligent agent systems, negotiation algorithm solving tasks of energy saving, optimal electric vehicle control and transport flow control in traffic jam. Main goal of research is energy saving for public electric transport. Mathematical model and evolutionary algorithm is proposed in the paper to solve multi-criteria optimization task minimizing idle...
chapter
In this paper the Switched Linear Internal Model (SLIM) controller, an Internal Model based control scheme recently proposed by the authors, is qualitatively analyzed in terms of sensitivity to external disturbances. This investigation is particularly relevant to motivate further efforts toward a theoretical assessment of the considered scheme. In fact, SLIM solution is expected to have good robustness...
chapter
Three different controllers for reducing the swing angle in overhead cranes are developed and compared in this paper. Numerical simulations tests have been developed for analysing the control performance. The introduced solutions combine different slide surfaces with fuzzy logic rules.
chapter
An estimation of the state and the unknown inputs of the reduced nonlinear model of an activated sludge process using the Extended Kalman Filter (EKF) is proposed. First, we present the reduced nonlinear model. This model contained five state variables and four unknown inputs. For satisfying the rank condition for the construction of an EKF, one unknown input has been approximated and the daily mean...
chapter
Voice feature extraction plays an important role in analyzing and characterizing voice content. The key to extract strong features that characterize the complex nature of voice signals is to identify their discriminatory subspaces. Diagnosis of pathological voice is one of the most important issues in biomedical applications of speech technology. There are some approaches for separating pathological...
chapter
This paper introduces a new tuning technique for digital PID controller parameters. This technique based on the modified local optimal controller parameters for certain reduced order model structures. Different methods are used to obtain the local optimal controller parameters for these reduced order structures. The new tuning technique for digital PID controller parameters is compared with the existing...
chapter
In this paper, we consider the dynamic modeling and the practical implementation of an autonomous dynamic positioning scheme, i.e., the stabilization of linear and angular velocities as well as the position and orientation, of a floating sea triangular platform. The required, closed-loop force and moment must be provided by three rotating pump jets, located at the bottom of three partly submerged...
chapter
This paper deals with the problems of robust admissibility and state feedback admissibilization of uncertain discrete descriptor systems. We propose a new sufficient condition, which is necessary in terms of a strict linear matrix inequality (LMI) for a nominal discrete descriptor system to be admissible (stable, regular and impulse free). Based on this, the state feedback admissibility problem is...
