Results 21 to 30 of about 178,500 (285)
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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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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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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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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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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Moving Horizon State Estimation for Linear System with Application to Autonomous Vehicle
InPrime, 2023 This paper proposes moving horizon estimation (MHE) to estimate the state variables of autonomous vehicle linear systems under measurement noises. To solve the MHE optimization problem, quadratic programming is employed.
Heri Purnawan +4 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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Advanced-multi-step Moving Horizon Estimation
IFAC-PapersOnLine, 2021 Abstract Moving Horizon Estimation (MHE) is an important optimization-based approach for state estimation and parameter updates, because of its capabilities in dealing with nonlinearity and state constraints. In addition, one of the applications is to provide the full state information for Model Predictive Controller (MPC) to control the process in ...
Yeonsoo Kim +3 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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