The paper deals with the design of decentralized robust controllers with output feedback for a class of interconnected linear continuous time systems with parametric uncertainties. The uncertainties, in general nonlin...
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The paper deals with the design of decentralized robust controllers with output feedback for a class of interconnected linear continuous time systems with parametric uncertainties. The uncertainties, in general nonlinear, can appear both in the subsystems as well as in their interconnections. No matching conditions or other similar constraints are to be considered in the complex uncertain system model. The proposed two approaches have been verified on a design of decentralized robust PI controllers using non-iterative LMI based algorithm.
This paper addresses the attraction domain of model-based predictive control (MPC) for nonlinear systems with control input and state constraints. Based on a stability condition of nonlinear MPC, a method to determine...
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This paper addresses the attraction domain of model-based predictive control (MPC) for nonlinear systems with control input and state constraints. Based on a stability condition of nonlinear MPC, a method to determine the terminal weighting term in the performance index and the terminal stabilising control law to maximise the domain of attraction of the nonlinear MPC is proposed. The problem of maximisation of the attraction region is recast as a well-defined optimisation problem. By an LMI based optimisation approach, the terminal weighting item and fictitious terminal stabilising control law axe optimised to enlarge the attraction domain and hence the feasibility domain of the nonlinear MPC method. The proposed method is illustrated by a numerical example and favourably compared with existing results.
Analysis of complex systems such as hierarchically structured network systems that are employed in modelling and analysis various aspects and issues of control and management in telecommunications is investigated. The...
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We develop a new software layer called the Automatic Parallel Detection Layer (APDL) for the automatic transformation from sequential to parallel code. The main interest, in this research, is the parallelism at loop l...
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We develop a new software layer called the Automatic Parallel Detection Layer (APDL) for the automatic transformation from sequential to parallel code. The main interest, in this research, is the parallelism at loop level, because significant parallelism in programs almost invariably occurs in loops. The proposed APDL has five processes for code transformation: the sequential source code parser, data dependence analysis of this code, partitioning, scheduling both task and data, and generating parallel source code. Many cases have been studied to evaluate the performance of the developed layer. The performance is evaluated depending on the execution time of: the sequential code, the parallel programmer code, and the code output from APDL for the same case study. Performance results show that APDL greatly improves the execution time with respect to sequential execution time, and saves on the high cost of a parallel programmer.
PNNI (private network network interface) routing establishes the connection between end-to-end users based on topology database by source routing and can efficiently use network resources by dynamic routing. Also, PNN...
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PNNI (private network network interface) routing establishes the connection between end-to-end users based on topology database by source routing and can efficiently use network resources by dynamic routing. Also, PNNI can be used at large networks by organizing hierarchical networks based on peer group. The methods for topology aggregation such as star, full-mesh, and spanning-tree have been studied. Presently, the method for considering various parameters has been studied. This paper compares and analyzes the above methods of topology aggregation in PNNI. For performance test of the above methods, we developed the simulator based on PNNI 1.0 specification. Our simulator is based on ATM PNNI Routing Protocol Simulator (APRoPS) of National Institute of Standards and Technology. APRoPS is developed for the test of ATM routing efficiency and the analysis of ATM routing protocols according to PNNI 1.0. Using APRoPS, NIST has studied the stability test and scalability of PNNI routing protocol. In this paper, using our simulator, we simulate the above methods that can aggregate topology considering various parameters. An efficient topology aggregation algorithm has a great influence on network efficiency and scalability in PNNI network.
Computation of an ARMA covariance function is a common ingredient in analysis and synthesis of various problems in stochastic control, estimation and signal processing. In this paper, we present an algorithm based on ...
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The backstepping nonlinear control design scheme has been used for many years. The paper presents the use of backstepping nonlinear control design to asymptotically track the position of a magnetic ball-levitated ball...
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The backstepping nonlinear control design scheme has been used for many years. The paper presents the use of backstepping nonlinear control design to asymptotically track the position of a magnetic ball-levitated ball. The model of the magnetic ball used is nonlinear. The design uses the backstepping nonlinear control to make the ball able to track an output signal x, a vertical position from some reference point, to a continuous twice-differentiable positive reference signal x/sub r/, asymptotically. This design suggests the use of 2 inputs u/sub 1/ and u/sub 2/ working mutually exclusively together to generate a piecewise continuous control law u.
Necessary and sufficient conditions for a discrete-time system to be stabilizable via output feedback are established. The obtained conditions include a Riccati equation. An iterative algorithm for the computation of ...
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Necessary and sufficient conditions for a discrete-time system to be stabilizable via output feedback are established. The obtained conditions include a Riccati equation. An iterative algorithm for the computation of output stabilizing feedback gains is proposed in two alternatives. The results provide the discrete-time counterpart to the results by Kučera and deSouza, 1995.
This paper presents an attractive artificial neural network architecture with orthonormal type of activation functions (e.g. harmonic, Legendre, Laguerre and Chebychev) for modeling and self-tuning control of nonlinea...
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This paper presents an attractive artificial neural network architecture with orthonormal type of activation functions (e.g. harmonic, Legendre, Laguerre and Chebychev) for modeling and self-tuning control of nonlinear processes. An algorithm for modeling and self-tuning control of uncertain nonlinear complex processes is proposed. Several types of orthonormal functions for nonlinear process modeling and control are analyzed and compared. Simulation results are provided to illustrate high performance of artificial neural networks with the orthonormal activation functions in practical industrial problems. The obtained results are compared and potential shortcomings of the proposed methods for real time industry control are discussed and analyzed.
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