Results 21 to 30 of about 178,773 (337)
Nonlinear Model Predictive Control of Shipboard Boom Cranes Based on Moving Horizon State Estimation
Journal of Marine Science and Engineering, 2022 As important equipment in offshore engineering and freight transportation, shipboard cranes, working in non-inertial coordination systems, are complicated nonlinear systems with strong couplings and typical underactuation. To tackle the challenges in the
Yuchi Cao, Tieshan Li, Liying Hao
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MULTIRATE STATE ESTIMATION USING MOVING HORIZON ESTIMATION [PDF]
IFAC Proceedings Volumes, 2005 Abstract In most chemical processes only some measurements are available online while other measurements are available infrequently and often with long delays. Multirate state estimation can optimally combine these different classes of measurements to improve the estimation quality compared to the fast measurements alone.
Stefan Krämer, Ralf Gesthuisen
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Real-Time Estimation of Microgrid Inertia and Damping Constant
IEEE Access, 2021 The displacement of rotational generation and the consequent reduction in system inertia is expected to have major stability and reliability impacts on modern power systems.
Ujjwol Tamrakar +4 more
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SICE Journal of Control, Measurement, and System Integration, 2021 A quad-maran unmanned vessel is a new type of unmanned surface vessel for the automatic collection of various environmental data in aquaculture fields. We propose a fault detection and control scheme for a possible thrust decrease failure of quad-maran ...
Kota Mukai, Naoyuki Hara, Keiji Konishi
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Estimation for Nonlinear Dynamical Systems over Packet-Dropping Networks [PDF]
, 2007 Two approaches, extended Kalman filter (EKF) and moving horizon estimation (MHE), are discussed for state estimation for nonlinear dynamical systems over packet-dropping networks.
Jin, Zhipu +2 more
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Distributed moving horizon estimation with pre-estimating observer [PDF]
2020 24th International Conference on System Theory, Control and Computing (ICSTCC), 2020 This paper proposes a new Distributed Moving Horizon Estimation (DMHE) algorithm for state estimation of a discrete-time linear system by a sensor network. The main contribution consists in using a pre-estimating Luenberger observer in the formulation of the local problem to be solved by each sensor.
Antonello Venturino +4 more
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A Decentralized Framework for Parameter and State Estimation of Infiltration Processes
Mathematics, 2020 The Richards’ equation is widely used in the modeling soil water dynamics driven by the capillary and gravitational forces in the vadose zone. Its state and parameter estimation based on field soil moisture measurements is important and challenging for ...
Song Bo, Jinfeng Liu
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Frontiers in Bioengineering and Biotechnology, 2021 Real-time biofeedback of muscle forces should help clinicians adapt their movement recommendations. Because these forces cannot directly be measured, researchers have developed numerical models and methods informed by electromyography (EMG) and body ...
François Bailly +5 more
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High-Performance Small-Scale Solvers for Moving Horizon Estimation [PDF]
, 2015 In this paper we present a moving horizon estimation (MHE) formulation suitable to easily describe the quadratic programs (QPs) arising in constrained and nonlinear MHE.
Diehl, Moritz +4 more
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Moving-horizon Guaranteed Parameter Estimation
IFAC-PapersOnLine, 2019 Abstract This paper is concerned with guaranteed parameter estimation of non-linear dynamic systems in a context of bounded measurement error. The problem consists of approximating the set of all possible parameter values such that the predicted values of plant outputs match their corresponding measurements within prescribed error bounds.
Artzová, Petra, Paulen, Radoslav
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