Searched for: subject%3A%22Nonlinear%255C+systems%22
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Sara Boby, Sara (author)
In the field of fluid mechanics, there has been a significant shift towards the integration of machine and deep learning techniques to address challenges in reduced-order modeling, flow feature analysis, and control, especially within the realm of active flow control (AFC) for objectives such as lift optimization and drag reduction. Deep...
master thesis 2024
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Dziarnowska, Weronika (author)
Researchers have been interested in studying the connection between emotion and memory for decades but much remains unknown due to the elusive nature of the human brain. Furthering our understanding of the phenomenon is crucial for improving the treatment of neurological disorders associated with emotion dysregulation, as well as for enhancing...
master thesis 2023
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Devia Pinzon, C.A. (author)
An interconnected system is composed of multiple well-defined self-contained subsystems that interact among them and that together create collective behaviours. We can find many examples of interconnected systems in real life. Ranging from biological systems, such as the growth and interaction of populations in diverse and spatially distributed...
doctoral thesis 2023
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Lv, Maolong (author), De Schutter, B.H.K. (author), Cao, Jinde (author), Baldi, S. (author)
Practical tracking results have been reported in the literature for high-order odd-rational-power nonlinear dynamics (a chain of integrators whose power is the ratio of odd integers). Asymptotic tracking remains an open problem for such dynamics. This note gives a positive answer to this problem in the framework of prescribed performance...
journal article 2023
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de Groot, O.M. (author), Valk, Laurens (author), Keviczky, T. (author)
In this work, we propose two cooperative passivity-based control methods for networks of mechanical systems. By cooperatively synchronizing the end-effector coordinates of the individual agents, we achieve cooperation between systems of different types. The underlying passivity property of our control approaches ensures that cooperation is...
journal article 2023
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Marino, Luca (author), Cicirello, A. (author)
An approach for the identification of discontinuous and nonsmooth nonlinear forces, as those generated by frictional contacts, in mechanical systems that can be approximated by a single-degree-of-freedom model is presented. To handle the sharp variations and multiple motion regimes introduced by these nonlinearities in the dynamic response, the...
journal article 2023
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Skovbekk, John (author), Laurenti, L. (author), Frew, Eric (author), Lahijanian, Morteza (author)
Verifying the performance of safety-critical, stochastic systems with complex noise distributions is difficult. We introduce a general procedure for the finite abstraction of nonlinear stochastic systems with nonstandard (e.g., non-affine, non-symmetric, non-unimodal) noise distributions for verification purposes. The method uses a finite...
journal article 2023
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Jafarian, M. (author), Chávez Huerta, D. (author), Villani, Gianluca (author), Lansner, Anders (author), Johansson, Karl H. (author)
This article studies free recall, i.e., the reactivation of stored memory items, namely patterns , in any order, of a model of working memory. Our free recall model is based on a biologically plausible modular neural network composed of H modules, namely hypercolumns , each of which is a bundle of M minicolumns . The coupling weights and...
journal article 2023
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Würzbauer, Valentin (author), Lenk, Kerstin (author), Jafarian, M. (author)
The brain consists not only of neurons but also of non-neuronal cells, including astrocytes. Recent discoveries in neuroscience suggest that astrocytes directly regulate neuronal activity by releasing gliotransmitters such as glutamate. In this paper, we consider a biologically plausible mathematical model of a tripartite neuron-astrocyte...
journal article 2023
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Trumic, Maja (author), Della Santina, C. (author), Jovanovic, Kosta (author), Fagiolini, Adriano (author)
This letter investigates the stability properties of the soft inverted pendulum with affine curvature - a template model for nonlinear control of underactuated soft robots. We look at how changes in physical parameters affect stability and equilibrium. We give conditions under which zero dynamics corresponding to a collocated choice of the...
journal article 2023
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Poot, Maurice (author), van Hulst, Jilles (author), Yan, Kai Wa (author), Kostic, Dragan (author), Portegies, Jim (author), Oomen, T.A.E. (author)
The increasing demands on throughput and accuracy of semiconductor manufacturing equipment necessitates accurate feedforward motion control that includes compensation of input nonlinearities. The aim of this paper is to develop a data-driven feedforward approach consisting of a Wiener feedforward, i.e., linear parameterization with an output...
journal article 2023
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Ghanipoor, Farhad (author), Murguia, Carlos (author), Mohajerin Esfahani, P. (author), van de Wouw, Nathan (author)
This paper addresses the problem of robust process and sensor fault reconstruction for nonlinear systems. The proposed method augments the system dynamics with an approximated internal linear model of the combined contribution of known nonlinearities and unknown faults - leading to an approximated linear model in the augmented state. We...
journal article 2023
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Memmel, E.M. (author), Menzen, C.M. (author), Batselier, K. (author)
This paper proposes a Bayesian Volterra tensor network (TN) to solve high-order discrete nonlinear multiple-input multiple-output (MIMO) Volterra system identification problems. Using a low-rank tensor network to compress all Volterra kernels at once, we avoid the exponential growth of monomials with respect to the order of the Volterra...
journal article 2023
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Batselier, K. (author)
The identification of symmetric tensor network MIMO Volterra models has been studied earlier via the computation of a Moore-Penrose pseudoinverse in tensor network form. The current state of the art requires the construction of a tensor network of a repeated Khatri-Rao product of a matrix with itself. This construction has a computational...
journal article 2023
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Jafarian, M. (author), Mamduhi, Mohammad H. (author), Johansson, Karl H. (author)
This article studies stochastic relative phase stability, i.e., stochastic phase-cohesiveness, of discrete-time phase-coupled oscillators. The stochastic phase-cohesiveness in two types of networks is studied. First, we consider oscillators coupled with 2π-periodic odd functions over underlying undirected graphs subject to both multiplicative...
journal article 2023
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Lv, Maolong (author), Yu, Wenwu (author), Cao, Jinde (author), Baldi, S. (author)
This work investigates a reduced-complexity adaptive methodology to consensus tracking for a team of uncertain high-order nonlinear systems with switched (possibly asynchronous) dynamics. It is well known that high-order nonlinear systems are intrinsically challenging as feedback linearization and backstepping methods successfully developed...
journal article 2022
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Borja Rosales, L.P. (author), Della Santina, C. (author), Dabiri, A. (author)
Damping injection is a well-studied tool in nonlinear control theory to stabilize and shape the transient of mechanical systems. Interestingly, the injection of coupled damping yielding gyroscopic forces has received far less attention. This letter aims to fill this gap for gyroscopic forces that couple actuated and unactuated coordinates. First...
journal article 2022
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Van Meer, Max (author), Poot, Maurice (author), Portegies, Jim (author), Oomen, T.A.E. (author)
Feedforward control is essential to achieving good tracking performance in positioning systems. The aim of this paper is to develop an identification strategy for inverse models of systems with nonlinear dynamics of unknown structure using input-output data, which can be used to generate feedforward signals for a-priori unknown tasks. To this...
journal article 2022
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Van Hulst, Jilles (author), Poot, Maurice (author), Kostic, Dragan (author), Yan, Kai Wa (author), Portegies, Jim (author), Oomen, T.A.E. (author)
Advanced feedforward control methods enable mechatronic systems to perform varying motion tasks with extreme accuracy and throughput. The aim of this paper is to develop a data-driven feedforward controller that addresses input nonlinearities, which are common in typical applications such as semiconductor back-end equipment. The developed...
journal article 2022
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Zhang, Xinglong (author), Pan, W. (author), Scattolini, Riccardo (author), Yu, Shuyou (author), Xu, Xin (author)
Koopman operators are of infinite dimension and capture the characteristics of nonlinear dynamics in a lifted global linear manner. The finite data-driven approximation of Koopman operators results in a class of linear predictors, useful for formulating linear model predictive control (MPC) of nonlinear dynamical systems with reduced...
journal article 2022
Searched for: subject%3A%22Nonlinear%255C+systems%22
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