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Identification of multivariable systems based on finite impulse response models with flexible orders

Identification of multivariable systems based on finite impu...

引用

IEEE International Conference on Mechatronics and Automation

作者： Feng Ding Tongwen Chen Control Science and Engineering Research Center Southern Yangtze University Wuxi China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

For multi-input, multi-output stochastic systems, by means of auxiliary models - finite impulse response (FIR) models, we develop an identification algorithm to estimate the FIR model parameters of each entry (sub-submodel) of transfer matrices with an increasing order for the FIR model. The basic idea is to use auxiliary models to predict/estimate the outputs of the sub-submodels, and further to use the recursive least squares algorithm or the Pade approximation method to produce the parameter estimates of sub-submodels. Some simulation results are included.

关键词： MIMO Finite impulse response filter Parameter estimation Least squares approximation Predictive models Recursive estimation Stochastic systems Approximation algorithms Approximation methods System identification

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Adaptive output feedback compensation of variant actuator failures

Adaptive output feedback compensation of variant actuator fa...

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American control Conference (ACC)

作者： Gang Tao S.M. Joshi Department of Electrical and Computer Engineering University of Virginia Charlottesville VA USA NASA-Langley Research Center Hampton VA USA

This paper presents an adaptive output feedback control scheme for systems with uncertain actuator failures whose values are variant. An effective controller structure is developed for adaptive actuator failure compensation using a new parametrization scheme. A new failure compensation property is derived for such a scheme which leads to a linear parametrization of the bilinear parameters caused by plant and failure uncertainties. Desired plant-model matching, stable adaptation and asymptotic output tracking properties are established for the closed-loop control system in the presence of variant actuator failures. Simulation results verified the desired adaptive actuator failure compensation performance.

关键词： Output feedback Programmable control Adaptive control Hydraulic actuators control systems nasa Uncertainty Linear feedback control systems Postal services Stability

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Adaptive H∞ -Contro1 Design for a Class of LPV Systems

Adaptive H∞ -Contro1 Design for a Class of LPV Systems

引用

IEEE Conference on Decision and control

作者： H.R. Karimi B. Moshiri P.J. Maralani B. Lohmann Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran Institute of Automatic Control Technical University Munich Munich Germany

In this paper, we focus on the issue of adaptive H ∞ -control design for a class of linear parameter-varying (LPV) systems based on the Hamiltonian-Jacobi-Isaac (HJI) method. By combining the idea of polynomially parameter-dependent quadratic functions and vector projection method to derive an adaptive H ∞ -control, sufficient conditions with high precision are given to guarantee both robust asymptotic stability and disturbance attenuation of the LPV systems with unknown constant parameters. The applicability of the proposed design method is illustrated on a simple example.

关键词： Robust stability Polynomials Linear matrix inequalities Symmetric matrices Attenuation Asymptotic stability Sufficient conditions Automatic control Programmable control Adaptive control

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H//sub/spl infin// control of linear parameter-dependent state-delayed systems

H//sub/spl infin// control of linear parameter-dependent sta...

引用

IEEE Conference on control Technology and Applications (CCTA)

In this paper, we deal with the issue of robust delay-independent asymptotic stability and robust disturbance attenuation problem for linear parameter-dependent systems. Using Hamiltonian-Jacoby-Isaac approach, a parameter-dependent LMI optimization is obtained. It is shown that by utilizing polynomial parameter-dependent quadratic Lyapunov functions, a parameter-dependent LMI optimization problem is derived. Therefore, state feedback control is determined by solving a parameter-independent LMI. Finally, the applicability of the proposed design is illustrated on a simple example

关键词： control systems Lyapunov method Robust stability Process control Polynomials Attenuation Linear systems Sufficient conditions Vectors Intelligent control

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An interpolative fuzzy inference using least square principle by means of /spl beta/-function and high order polynomials

An interpolative fuzzy inference using least square principl...

引用

IEEE International Conference on Mechatronics and Automation

作者： F. Kiasi C. Lucas A. Fazl Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Iran Electrical Engineering Faculty K.N. Toosi University of Technology Tehran Iran

Many researchers have been interested in approximation properties of fuzzy logic systems (FLS), which like neural networks, can be seen as approximation schemes. Almost all of them tackled Mamdani fuzzy model, which was shown to have many interesting features. This paper aims to present an alternative for traditional inference mechanisms and CRI method. The most attractive advantage of this new method is its higher robustness with respect to changes in rule base and ability to operate when latter is sparse. In this paper interpolation with high order polynomials and /spl beta/-function is reported.

关键词： Least squares methods Polynomials Fuzzy systems Fuzzy sets Fuzzy logic Interpolation Least squares approximation Engines Fuzzy control Curve fitting

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Results on convergence in hybrid systems via detectability and an invariance principle

Results on convergence in hybrid systems via detectability a...

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American control Conference (ACC)

作者： R.G. Sanfelice R. Goebel A.R. Teel Center for Control Eng. & Compulation California Univ. Santa Barbara CA USA Center for Control Engineering and Computation Electrical and Computer Engineering Department University of California Santa Barbara CA USA

Two invariance principles for generalized hybrid systems are presented. One version involves the use of a nonincreasing function, like in the original work of LaSalle. The other version involves "meagreness" conditions. These principles characterize asymptotic convergence of bounded hybrid trajectories to weakly invariant sets. A detectability property is used to locate a set in which the Q-limit set of a trajectory is contained. Next, it is shown how the invariance principles can be used to certify asymptotic stability in hybrid systems. Lyapunov and Krasovskii theorems for hybrid systems are included.

关键词： Convergence Asymptotic stability Military computing Sufficient conditions Mathematical model Difference equations control engineering control engineering computing Linear systems Nonlinear systems

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Reconfigurable sliding-mode control design using genetic algorithms and eigenstructure assignment

Reconfigurable sliding-mode control design using genetic alg...

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International Conference on control and Automation (ICCA)

作者： A.E. Ashari M.J. Yazdanpanah A.K. Sedigh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Electrical and Electronics Engineering Department K.N. Toosi University of Technology Tehran Iran

This paper proposes a reconfigurable control system design methodology using the sliding-mode control. The advantage of the proposed sliding-mode reconfigurable control methodology is that it is more robust than the simple static reconfigurable feedback. An approach is suggested to redesign the sliding surface for the after-fault variable structure controller using the genetic algorithms. So, the new sliding-mode controller is capable of preserving much of the dynamics of the original unfailed system. Simulation results are provided to show the effectiveness of the proposed method.

关键词： Sliding mode control Algorithm design and analysis Genetic algorithms control systems Feedback Robust control Stability Java Uncertainty State-space methods

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Output feedback reconfigurable controller design using eigenstructure assignment: post fault order change

Output feedback reconfigurable controller design using eigen...

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International Conference on control and Automation (ICCA)

作者： A.E. Ashari A.K. Sedigh M.J. Yazdanpanah Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Electrical and Electronics Engineering Department K.N. Toosi University of Technology Tehran Iran

This paper proposes a reconfigurable controller design method for multivariable systems, which is capable of dealing with order-change problems that may occur in an after-fault system. A new method is proposed to recover the nominal closed-loop performance after a fault occurrence in the system. This approach uses the eigenstructure assignment. Unlike the previously developed approaches, the new method can be implemented in the case when the fault leads to order change of the after-fault model. Also, it can be used to solve the problems in which the set of after-fault open-loop and closed-loop eigenvalues have common elements, especially when the system becomes uncontrollable or unobservable due to the fault. The method guarantees the stability of the reconfigured closed-loop system in the presence of output feedback. Finally, simulation results are provided to show the effectiveness of the proposed method for an aircraft model.

关键词： Output feedback control systems Stability Eigenvalues and eigenfunctions Sliding mode control Design methodology MIMO Process control Open loop systems Java

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Self-organized motion in a class of anisotropic swarms: convergence vs oscillation

Self-organized motion in a class of anisotropic swarms: conv...

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American control Conference (ACC)

作者： Tianguang Chu Long Wang Tongwen Chen Center for Systems and Control Department of Mechanics and Engineering ScienceFirst Hospital Peking University Beijing China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

ISBN: (纸本)0780390989

We study an anisotropic swarm model with a class of attraction and repulsion functions. It is shown that the members of a reciprocal swarm aggregates and eventually form a cohesive cluster of finite size around the swarm center within finite time. Under mild conditions on attraction and repulsion functions, the swarm is also completely stable, i.e., every motion converges to the equilibrium point set of the system. These results are further extended to a class of nonreciprocal swarms under the detailed balance condition on coupling weights. We also present numerical simulations demonstrating complex oscillatory behavior in general nonreciprocal swarms. These results provide more insight into the effect of the interaction pattern on collective behavior of swarms.

关键词： Anisotropic magnetoresistance Convergence control systems Stability Numerical simulation Multiagent systems Pattern formation Distributed control Motion control Aggregates

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III-V multi-junction materials and solar cells on engineered SiGe/Si substrates

III-V multi-junction materials and solar cells on engineered...

引用

2004 Materials Research Society Fall Meeting

作者： Ringel, Steven A. Andre, Carrie L. Lueck, Matthew Isaacson, David Pitera, Arthur J. Fitzgerald, Eugene A. Wilt, David M. Department of Electrical and Computer Engineering Ohio State University 2015 Neil Avenue Columbus OH 43210 United States Department of Materials Science and Engineering Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 United States Photovoltaic and Space Environments Branch NASA Glenn Research Center 21000 Brook Park Road Cleveland OH 44135 United States

The monolithic integration of high efficiency III-V compound solar cell materials and devices with lower-cost, robust and scaleable Si substrates has been a driving force in photovoltaics (PV) basic research for decades. Recent advances in controlling mismatchinduced defects that result from structural and chemical differences between III-V solar cell materials and Si using a combination of SiGe interlayers and monolayer-scale control of III-V/IV interfaces, have led to a series of fundamental advances at the material and device levels, which establish that the great potential of III-V/Si PV is within reach. These include demonstrations of GaAs epitaxial layers on Si that are anti-phase domain-free with verified dislocation densities at or below 1×l06 cm-2 and negligible interface diffusion, minority carrier lifetimes for GaAs on Si in excess of 10 ns, single junction GaAs-based solar cells on Si with open circuit voltages (Voc) in excess of 980 mV, efficiencies beyond 18%, and area-independent PV characteristics up to at least 4 cm2. These advances are attributed in large part to the use of a novel "engineered Si substrate" based on compositionally-graded SiGe buffers such that a high-quality, low defect density, relaxed, "virtual" Ge substrate could be developed that can support lattice-matched III-V epitaxy and thus merge III-V technology based on the GaAs (or Ge) lattice constant with Si wafers. This paper focuses on recent results that extend this work to the first demonstration of high performance III-V dual junction solar cells on SiGe/Si. Open circuit voltages in excess of 2 V at one-sun have been obtained for the conventionally "lattice- matched" 1no.49Ga0.51P/GaAs dual junction cells on inactive, engineered SiGe/Si;to our knowledge is the first demonstration of > 2V solar power generation on a Si wafer. Comparisons with identical cells on GaAs substrates reveal that the Voc on engineered Si retains more than 94% of its homoepitaxial value, and that at pres

关键词： Solar cells

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