Results 151 to 160 of about 319,360 (208)

Conventional Sliding Modes

2014
This chapter considers the development of conventional sliding mode methods. The chapter describes the early work to define the notion of the solution of differential equations with discontinuous right-hand sides and the concept of “equivalent control” as a means to describe the reduced-order dynamics while a sliding motion is taking place.
Yuri Shtessel, Christopher Edwards, Leonid Fridman, Arie Levant   +3 more
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Fuzzy sliding mode controller design with fuzzy sliding mode observer

2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies and Industrial Opportunities (Cat. No.00CH37141), 2002
This paper addresses the design strategy of a decoupled fuzzy sliding mode controller and a fuzzy sliding mode observer on the basis of the Takagi-Sugeno's (T-S) fuzzy model. A class of fourth-order systems such as a cart-pole system could be well controlled and observed in both the pole hyperplane and the cart-hyperplane simultaneously by the proposed
null Chung-Chun Kung, null Jui-Yiao Su
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Higher order sliding mode control based on integral sliding mode

Automatica, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Laghrouche, Salah, Plestan, Franck, Glumineau, Alain   +2 more
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Chaos synchronization via sliding modes

AIP Conference Proceedings, 2001
In this paper, an observability approach to the synchronisation of chaotic systems is presented. The proposed method allows for the reconstruction of a chaotic attractor from a scalar signal and its derivatives, and it refers to output feedback control techniques for uncertain nonlinear systems.
CANNAS, BARBARA, CINCOTTI S., USAI, ELIO
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WEIGHTED SLIDING EMPIRICAL MODE DECOMPOSITION

Advances in Adaptive Data Analysis, 2011
The analysis of nonlinear and nonstationary time series is still a challenge, as most classical time series analysis techniques are restricted to data that is, at least, stationary. Empirical mode decomposition (EMD) in combination with a Hilbert spectral transform, together called Hilbert-Huang transform (HHT), alleviates this problem in a purely ...
Faltermeier, R, Zeiler, A, Tomé, A. M., Brawanski, A, Lang, E W   +4 more
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Discrete sliding-mode-based differentiators

2016 14th International Workshop on Variable Structure Systems (VSS), 2016
Sliding-mode-based differentiators of the input f(t) of the order k yield exact estimations of the derivatives f(1), … f(k), provided an upper bound of |f(k+1)(t)| is available in real time.Practical application involves discrete noisy sampling of f and numeric integration of the internal variables between the measurements. The corresponding asymptotic
Barbot, Jean-Pierre, Levant, Arie, Livine, Miki, Lunz, Davin   +3 more
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State constrained sliding mode controllers

Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998
Develops a sliding mode controller in the presence of inequality constraints on the system state variables. State constraints may arise in many situations, such as limitations on allowable position and speed for the case of mechanical systems. A formal framework for the controller synthesis presented, and a validation using a spacecraft attitude ...
INNOCENTI, MARIO, FALORNI M.
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High‐order sliding mode control design based on adaptive terminal sliding mode

International Journal of Robust and Nonlinear Control, 2011
SUMMARYHigh‐order sliding mode control techniques are proposed for uncertain nonlinear SISO systems with bounded uncertainties based on two different terminal sliding mode approaches. The tracking error of the output converges to zero in finite time by designing a terminal sliding mode controller. In addition, the adaptive control method is employed to
Tang, W. Q., Cai, Y. L.
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Neural Networks Learning With Sliding Mode Control: The Sliding Mode Backpropagation Algorithm

International Journal of Neural Systems, 1999
Based on the classical backpropagation weight update equations, sliding mode control theory is introduced as a technique to adapt weights of a multi-layer perceptron. As will be demonstrated, the introduction of sliding mode has resulted in a much faster version of the standard backpropagation.
G G, Parma, B R, de Menezes, A P, Braga
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Sliding Mode Control

2017
In this chapter, sliding mode control (SMC) is designed for spatial control of Advanced Heavy Water Reactor (AHWR). Nonlinear system of AHWR has 90 states, 18 outputs, and 5 inputs. When linearized, the model is observed to be highly stiff. Therefore, direct application of the control method to the full-order system results into numerical ill ...
Ravindra Munje, Balasaheb Patre, Akhilanand Tiwari   +2 more
openaire   +1 more source