Search Results - "Maruta, Ichiro"

Robust PID controller tuning based on the constrained particle swarm optimization by Kim, Tae-Hyoung, Maruta, Ichiro, Sugie, Toshiharu

“…This paper proposes a novel tuning strategy for robust proportional-integral-derivative (PID) controllers based on the augmented Lagrangian particle swarm…”
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A Simple Framework for Identifying Dynamical Systems in Closed-Loop by Maruta, Ichiro, Sugie, Toshiharu

“…In this paper, we propose a simple framework for closed-loop system identification: the stabilized output error method. Traditional closed-loop system…”
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Closed-Loop Subspace Identification for Stable/ Unstable Systems Using Data Compression and Nuclear Norm Minimization by Maruta, Ichiro, Sugie, Toshiharu

“…This paper provides a subspace method for closed-loop identification, which clearly specifies the model order from noisy measurement data. The method can…”
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Actively Learning Gaussian Process Dynamical Systems Through Global and Local Explorations by Tang, Shengbing, Fujimoto, Kenji, Maruta, Ichiro

“…Usually learning dynamical systems by data-driven methods requires large amount of training data, which may be time consuming and expensive. Active learning,…”
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A Study on Numerical Solutions of Hamilton-Jacobi-Bellman Equations Based on Successive Approximation Approach by Ichiro Maruta, Shuhei Nishida, Kenji Fujimoto

“…This paper presents a numerical approach to solve the Hamilton-Jacobi-Bellman (HJB) equation, which arises in nonlinear optimal control. In this approach, we…”
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Optimal Distance Function for Locally Weighted Average Prediction of Just‐in‐Time Methods by Fujimoto, Yusuke, Maruta, Ichiro, Sugie, Toshiharu

“…This paper discusses the optimal distance function for Just‐in‐Time prediction. We focus on the standard Locally Weighted Average (LWA) prediction with…”
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Highlighted Map for Mobile Robot Localization and Its Generation Based on Reinforcement Learning by Yoshimura, Ryota, Maruta, Ichiro, Fujimoto, Kenji, Sato, Ken, Kobayashi, Yusuke

“…This article proposes a new kind of map for mobile robot localization and its generation method. We call the map a highlighted map, on which uniquely shaped…”
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On the Method of Generating a Circular-Clothoid Trajectory for Front-Steering Vehicles Based on L1/L2-Optimal Control by Kiyoshi Hamada, Ichiro Maruta, Kenji Fujimoto, Kenniti Hamamoto

“…The continuity and the constantness of both the curvature and the velocity in a trajectory are essential for the vehicle trajectory design from the viewpoint…”
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Locally deforming continuation method based on a shooting method for a class of optimal control problems by Hamada, Kiyoshi, Maruta, Ichiro, Fujimoto, Kenji, Hamamoto, Kenniti

“…This paper proposes a new continuation method for solving optimal control problems. The proposed method is based on a shooting method. In the proposed method,…”
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Bayesian Inference for Path Following Control of Port-Hamiltonian Systems with Training Trajectory Data by Yuki Okura, Kenji Fujimoto, Ichiro Maruta, Akio Saito, Hidetoshi Ikeda

“…This paper describes a procedure to design a path following controller of port-Hamiltonian systems based on a training trajectory dataset. The trajectories are…”
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Value iteration with deep neural networks for optimal control of input-affine nonlinear systems by Beppu, Hirofumi, Maruta, Ichiro, Fujimoto, Kenji

“…This paper proposes a new algorithm with deep neural networks to solve optimal control problems for continuous-time input nonlinear systems based on a value…”
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Passivity-Based Sliding Mode Control for Mechanical Port-Hamiltonian Systems by Sakata, Naoki, Fujimoto, Kenji, Maruta, Ichiro

“…In this work, we propose a new passivity-based sliding mode control (PBSMC) method for mechanical port-Hamiltonian systems. PBSMC is unification of sliding…”
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Input Design for Kernel-Based System Identification From the Viewpoint of Frequency Response by Fujimoto, Yusuke, Maruta, Ichiro, Sugie, Toshiharu

“…This paper discusses a method for designing input sequences for kernel-based system identification methods from the frequency perspective. The goal of this…”
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Actively learning dynamical systems using Bayesian neural networks by Tang, Shengbing, Fujimoto, Kenji, Maruta, Ichiro

“…Learning dynamical systems in a sample-efficient way is important for model-based control. Active learning which sequentially selects the most informative data…”
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Projection-based identification algorithm for grey-box continuous-time models by Maruta, Ichiro, Sugie, Toshiharu

“…In this paper, a new identification method for continuous-time models, which can handle various grey-box structures and has strong robustness, is presented…”
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Guaranteed Pseudospectral Sequential Convex Programming for Accurate Solutions to Constrained Optimal Control Problems by Yamamoto, Keitaro, Fujimoto, Kenji, Maruta, Ichiro

“…This letter proposes an algorithm for solving finite-time nonlinear optimal control problems. The proposed method employs the Gauss pseudospectral method to…”
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Modeling of dynamics in demand response for real-time pricing by Maruta, Ichiro, Takarada, Yusuke

“…To avoid the excessive suppression of electricity demand caused by conservative planning of electricity price, real-time minute-to-minute control of the…”
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A Passivity Based Integral Sliding Mode Controller for Mechanical Port-Hamiltonian Systems by Baba, Takahiro, Fujimoto, Kenji, Maruta, Ichiro

“…This letter proposes a passivity based integral sliding mode controller for mechanical port-Hamiltonian systems. Recently, passivity based sliding mode control…”
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A Passivity Based Sliding Mode Controller for Simple Port-Hamiltonian Systems by Fujimoto, Kenji, Sakata, Naoki, Maruta, Ichiro, Ferguson, Joel

“…This letter proposes a novel framework to design a passivity based sliding mode controller for mechanical systems described by simple port-Hamiltonian systems…”
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Fixed-structure H ∞ controller synthesis: A meta-heuristic approach using simple constrained particle swarm optimization by Maruta, Ichiro, Kim, Tae-Hyoung, Sugie, Toshiharu

“…This paper provides a design method of fixed-structure robust controllers satisfying multiple H ∞ norm specifications by using a sort of randomized algorithms…”
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