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We present an approach for compensating input delay of arbitrary length in nonlinear control systems. This approach, which due to the infinite dimensionality of the actuator dynamics and due to the nonlinear character of the plant results in a nonlinear feedback operator, is essentially a nonlinear version of the Smith Predictor and its various predictor-based modifications for linear plants. Global...
We present an algorithm for an event based approach to the global optimal control of nonlinear systems with coarsely quantized state measurement. The quantized measurements induce regions of the state space and the events represent the change of the system's state from one quantization region to another. We investigate the theoretical properties of the approach and illustrate the performance by a...
In recent work the authors combined integral-quadratic-constraint (IQC) based analysis with ??-gap metric based analysis to study the robustness of feedback interconnections of possibly unstable rational transfer functions. This is extended here to the case of irrational transfer functions without pure delays. Specifically, we restrict attention to the sub-algebra of Callier-Desoer class transfer...
Iterative methods for linear systems with a symmetric positive definite coefficient matrix are designed from a control-theoretic viewpoint. In particular, it is shown that a control-theoretic approach loosely based on m-step dead beat control of the error or residual system, with a suitable definition of error norm can be utilized to design new iterative methods that are competitive with the popular...
This paper is concerned with understanding the connection between the existing Internet congestion control algorithms and the optimal control theory. The available resource allocation controllers are mainly devised to derive the state of the system to a desired equilibrium point and, therefore, they are oblivious to the transient behavior of the closed-loop system. This work aims to investigate what...
An output-feedback sliding mode controller is proposed for a widely general class of single-input-single-output (SISO) time-varying uncertain nonlinear systems. Such a class encompasses plants in the state-of-the-art of global output-feedback control framework, possibly including strong polynomial nonlinearities in the unmeasured states. The sliding surface is generated by using the state of a high...
In this paper, a novel structure is derived for digital filter which is robust against the FWL errors. This structure, denoted as SIMP, is actually an improved version of the one reported in the work of Li et al. (2000) in terms of implementation efficiency and reducing quantization errors. The expression of transfer function sensitivity measure is derived for each structure. Two numerical examples...
In the paper, the authors propose a novel algorithm for synthesis of 2-D lossless FIR filter transfer function matrix. The synthesis based on 2-D embedding technique is used to obtain a FIR filter transfer function matrix which possess lossless properties. The matrix is composed of desired 2-D linear phase, quadrant symmetry transfer function and additional nonlinear phase transfer functions. A Newton...
When designing robust controllers, H∞ synthesis is a common tool to use. The controllers that result from these algorithms are typically of very high order, which complicates implementation. However, if a constraint on the maximum order of the controller is set, that is lower than the order of the (augmented) system, the problem becomes nonconvex and it is relatively hard to solve. These problems...
The reduction of Poisson structures on the state space of controlled Hamiltonian system is studied. The existence of completely integrable feedback-invariant distributions gives rise to a collection of reduced Poisson structures on the quotient by maximal integrable submanifolds. In special cases we can define a Poisson subsystem, which is feedback invariant. The result is an initial step towards...
Clustering is a phenomenon that may emerge in multi-agent systems through self-organization: groups arise consisting of agents with similar dynamic behavior. It is observed in fields ranging from the exact sciences to social and life sciences; consider e.g. swarm behavior of animals or social insects, dynamics of opinion formation, or the synchronization (which corresponds to cluster formation in...
Many engineering applications requires solving the fuzzy equations. A method to solve first order fuzzy linear equations using modal interval approach is suggested. The modal interval arithmetic is applied to solve these fuzzy equations, for each ??-cut, which is computationally efficient. Some basic definitions and operations of modal interval arithmetic are included here. Simulation examples validates...
Motivated by the growing demand of accuracy and low computational time in optimizing functions in various fields of engineering, an approach has been presented using the technique of parallel computing. The parallelization has been carried out on one of the simplest and flexible optimization algorithms, namely the particle swarm optimization (PSO) algorithm. PSO is a stochastic population global optimizer...
In the present study we propose a new hybrid version of differential evolution (DE) and particle swarm optimization (PSO) algorithms. In the proposed algorithm named as hybrid differential evolution (HDE) a `switchover constant' called ?? is defined. HDE starts as the basic DE algorithm which switches over to PSO when ?? is activated. The constant ?? on the other hand is activated at a point where...
The authors have recently introduced a new generalised derivatives operator ????1,??2n,m, which generalised many well-known operators studied earlier by many different authors. The trend of finding new operators such as the differential or the integral operators has attracted many researchers and in fact, has become necessary to some of the researchers. The aim of this paper is to use the equality...
Optimization problems are ubiquitous and consequential. In fact every sphere of human activity that can be quantified can be formulated as an optimization problem. The focus of this work is on Global Optimization which is not only desirable but also necessary in many cases. In the past few decades several Global optimization algorithms have been suggested in literature out of which stochastic, population...
With the rapidly growing number of Web services throughout the Internet, Service Oriented Architecture (SOA) enables a multitude of service providers (SP) to provide loosely coupled and inter-operable services at different Quality of Service (QoS) levels. This paper considers the services are published to a QoS-aware registry. The structure of composite service is described as a Service Orchestration...
This article is mainly about how to allocate scarce resources efficiently in network service, to enable network resources meeting the demand as far as possible, and improving the social welfare of user groups. Considering the user's credit and waiting time for allocating resources, we propose a user welfare function and establish a common network resource allocation mechanism which integrates combinatorial...
Collision Detection is one of the key issues on large-scale scenes roaming and it plays important part in the computer application and virtual reality. For the OBB bounding box algorithm in collision detection, this paper introduces a method based on the virtual occluders, which constructs the simple virtual occluders for OBB bounding box and realizes collision detection through intersection test...
We theoretically propose a strategy to use a travelling monochromatic wave in a simple two level atomic system to tune the group velocity over a wide range. Both subliminal and superluminal group velocity are demonstrated from the interaction of a light wave with atoms in the case where the cell length is much less than the light beam diameter. The tunable control of the light group velocity for the...
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