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This paper proposes a novel method for superheat and capacity control of refrigeration systems. The new idea is to control the superheat by the compressor speed and capacity by the refrigerant flow. A new low order nonlinear model of the evaporator is developed and used in a backstepping design of a nonlinear controller. The stability of the proposed method is validated theoretically by Lyapunov analysis...
This paper addresses a state-space approach to dynamically substructured systems and associated controller design. Dynamic substructuring enables full-size, critical components to be physically tested, whilst the remaining parts are simulated in real-time. The feedback of dynamic constraints and synchronization of variables must be done at the substructuring interface. High quality control is required...
Key properties of tensegrity structures are reviewed and illustrated on a representative structure. These properties reveal an ideal way of motion using infinitesimal internal mechanisms. Consequently, a new motion control strategy which exploits these mechanisms is introduced.
Integration of the nonlinear approaches for system identification is proposed for spectral differentiation and object recognition in this research. Multi-scale nonlinear principal component analysis (NCA) has been implemented to analyze the individual components of approximations and details based on wavelet transform. Neural network training has been applied to NCA while both 1D and 2D wavelet transform...
Data communication between mobile security robots over the network is an important component in a surveillance system. Because of limited bandwidth, transmission delay, and package loss, real-time video transmission may pose some challenges. In this paper, three steps of image data reduction before transmission are proposed and discussed in detail. The first one is temporal sampling, which selects...
Dealing with a multivariable non-minimum phase model of a boiler system, a LQG/LTR controller is designed which is well-known for its optimality and robustness. Firstly, the loop transfer function is shaped using LQG method; then, an observer is proposed with the aim of loop transfer recovery. Consequently, the designed controller is reduced to the lowest possible order for the sake of implementation...
The problem of observation of some classes of quasilinear uncertain systems is studied in the framework of unknown input observer theory. High-order sliding-mode observers are designed for the considered classes of systems. Necessary conditions for the convergence of the proposed observers are given in terms of restrictions on the system matrices. A new observation scheme, based on the error injection...
We discuss the stabilization of an unbalanced satellite in a gravitational field using the method of Controlled Lagrangians. The considered system can be classified as an Euler-Poincare mechanical system. Therefore, for the purpose of stabilization, we employ the stability analysis of Euler-Poincare mechanical systems that was extended to systems with non-zero potential energies in Part I of this...
A dynamic output feedback linearization technique for model reference control of nonlinear TITO (two-input two-output) systems identified by an Additive Nonlinear Autoregressive eXogenous (ANARX) model is proposed. ANARX structure of the model can be obtained by training a neural network of the specific restricted connectivity structure. Linear discrete-time reference model is given in the form of...
In social and biological systems, there exist many populations which consist of a large number of selfish players interacting with each other. In such a population, the purpose of each player often conflicts with the total purpose of the population, and a problem such as a social dilemma occurs. To resolve the problem, a government sometimes tries to control the population by imposing a tax on and/or...
In this paper a feedforward neural network is proposed to extract fuzzy hyperbolic model (FHM) of industrial plants. FHMs resemble Takagi-Sugeno-Kang (TSK) fuzzy models in general, however have some advantages. FHM is an inherently nonlinear model and can capture all the nonlinearities of the system. On the other hand there are some systematic approaches to design and analysis such models. The synergy...
In this paper, an Hfrinfin/LPV observer to be used in an automotive suspension control application is proposed. The system considered is a road disturbance affected quarter car equipped with an industrial SOBEN damper. This observer is designed in the Hfrinfin framework in order to minimize the effect of the unknown road disturbance on the estimated states. The damper studied in this paper is highly...
This paper studies the fault detection problem for linear uncertain systems with actuator outage faults. A state feedback controller and a detection weighting matrix are designed simultaneously, through which the closed-loop system is stabilized for both fault-free and actuator outage cases, and the actuator outage faults can be detected through the residual signal generated by recombining system...
This work investigates the problem of dynamic, intra-query load balancing in parallel database queries across heterogeneous nodes in a way that takes into account the inherent cost of adaptations and thus avoids both over-reacting and deciding when to adapt in a completely heuristic manner. The latter may lead to serious performance degradation in several cases, such as periodic and random imbalances...
The main problem of sliding mode controllers is that a whole knowledge system parameters is required to compute the equivalent control. Neural networks are used to compute the equivalent control. Standard two layer feedforward neural network training with the backpropagation algorithm and Radial Basis Function Neural Networks (RBFNN) are the most popular methods that used on robot control. This paper...
The object of this work is the design of a control strategy for semi-active suspension. In particular this paper explores the application of batch reinforcement learning (BRL) to the design problem of optimal comfort oriented semiactive suspension. BRL is an artificial intelligence technique able to provide an approximate solution of optimal control problems. The resulting control rule is a multidimensional...
This paper presents the creation of a robot capable of real-time drawing artistic portraits and signature. The application is based on the successful integration of multidisciplinary techniques including face detection, image processing, face image and characters segmentation, space coordinates transformation, trajectory planning, and robot arm motion control. The autonomous human face portrait is...
This paper presents a full analysis and development of a system for vibrations reduction in a kitchen hood by using piezoelectric actuators. The control system is based on a feedback controller whose action depends on a single acceleration sensor collocated with the actuator. Two different resonant control laws have been designed: the first one operates without the information of the hood motor velocity;...
Ethanol is a good choice as a fuel and additive. The increase in world demand for ethanol will bring an increase of the sugarcane planted in Brazil. One of challenges of the improvements in the farming and harvesting of cane is the biological pest control. The aim of this paper is to apply methods from optimal control theory, and from the theory of dynamic systems to the mathematical modeling of biological...
We describe an algorithm for solving a single machine scheduling problem with additional assumptions motivated by magnetic resonance imaging (MRI) systems. In the operating model, the temperature dynamics is involved and the objective is to minimize the total production time.
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