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Reduction for Structured Aggregated Markov Models Based on Reachable Space
The order of an aggregated Markov model (AMM) is an index of complexity and is closely related to the reachable subspace of a model. The AMM is called reachable-space reducible when the reachable subspace is not the whole space. Previous results demonstrate that there exists a reduced-order quasi-realization, which may not satisfy the nonnegative constraints, equivalent to a given reachable-space ...Show More
Rational Orthonormal Bases, State Transformations, and Dissipativity
We establish formulas relating the state of a continuous-time system with that of the transformed one in a Takenaka–Malmquist–Kautz orthogonal basis. We use such relation to give a simple proof that if the original system is dissipative, then the transformed one is also dissipative with the same storage function. We apply our results to continuous-time subspace system identification.Show More
The Reducibility of Reachable Space for Structured Hidden Markov Models
2020 59th IEEE Conference on Decision and Control (CDC)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
The order of a hidden Markov model (HMM) is an index of the complexity and is closely related to the reachable subspace in the state of the model. When the reachable subspace is not the whole space, there exists a reduced-order quasi hidden Markov model (quasi-HMM), which may not satisfy the nonnegative constraints, equivalent to the original HMM. Such an HMM will be called reachable-space reducib...Show More
Stable Process Approach to Analysis of Systems Under Heavy-Tailed Noise: Modeling and Stochastic Linearization
The Wiener process has provided a lot of practically useful mathematical tools to model stochastic noise in many applications. However, this framework is not enough for modeling extremal events, since many statistical properties of dynamical systems driven by the Wiener process are inevitably Gaussian. The goal of this work is to develop a framework that can represent a heavy-tailed distribution w...Show More
Decentralized Power Curtailment Control Using Real-Time Pricing Strategy for PV Generation Plants with Storage and its Experimental Verification
Hikaru Akutsu;Kenji Hirata;Akihiro Ohori;Nobuyuki Hattori;Yoshito Ohta
2018 IEEE Conference on Control Technology and Applications (CCTA)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
In order to solve environmental issue and energy crisis, PV (photovoltaic) generation has experienced the most growth among the renewable energy sources in the last few years, and the interconnection capacity of PV generation may continue to increase. However, the more recently special problem in Japan, the capacity of qualified PV generation facilities exceeds the allowable interconnection capaci...Show More
Decentralized control approach to power curtailment instruction problem for PV generation plants with storage
Hikaru Akutsu;Kenji Hirata;Akihiro Ohori;Nobuyuki Hattori;Yoshito Ohta
PV (photovoltaic) generation has experienced the most growth among the renewable energy sources in the last few years, and the interconnection capacity of PV generations may continue to increase. However, more recently special problem in Japan, the capacity of qualified PV generation facilities exceeds the allowable interconnection capacity determined by each power grid company. This fact is recog...Show More
A hyper-parameter estimation algorithm in kernel based regularization approach for system identification using Kautz kernels
2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)
Year: 2017 | Conference Paper |
A Bayesian approach for system identification using kernel functions is a popular method. The kernel functions are considered as certain prior knowledge about a target system, so selecting proper kernels is required. Recent studies show that it is successful to use OBF-s(orthonormal basis function)-based kernels as the kernel functions, but estimating hyper-parameters of the kernel functions is a ...Show More
Analyzing the effects of transmission line fault on the stochastic model predictive controlled IEEE 30-bus system with uncertain environment
Kentaro Ohki;Takuya Kakehashi;Hideharu Sugihara;Kenji Kashima;Yoshito Ohta
2017 IEEE Conference on Control Technology and Applications (CCTA)
Year: 2017 | Conference Paper |
Unpredictable accidents and uncertain environment make the management of the power systems difficult, which may increase the cost of power generation. In this paper, we apply a stochastic model predictive control to maintain the demand-and-supply balance in the IEEE 30-bus system and analyze how much a transmission line fault with uncertain weather forecast raises the generation costs. Since the t...Show More
Decentralized active and reactive power control for PV generation plants using real-time pricing strategy
Hikaru Akutsu;Kenji Hirata;Akihiro Ohori;Nobuyuki Hattori;Yoshito Ohta
PV (photovoltaic) generation may cause voltage rise at the interconnection point due to reverse power flow, which is recognized as a critical issue for keeping power quality. This paper investigates a decentralized management problem of PCSs (Power Conditioning Systems) which are used to interconnect the PV system into the power grid. We consider a real-time pricing strategy of the operator who pl...Show More
Decentralized Voltage Regulation for PV Generation Plants Using Real-Time Pricing Strategy
Kenji Hirata;Hikaru Akutsu;Akihiro Ohori;Nobuyuki Hattori;Yoshito Ohta
Photovoltaic (PV) generation may cause a voltage rise at the interconnection point due to reverse power flows, and it is recognized as a critical issue for keeping power quality. This paper investigates a decentralized management problem of power conditioning systems (PCSs), which are used to interconnect the PV system into the power grid. We consider a real-time pricing strategy of the operator, ...Show More
Attitude synchronization of rigid bodies via distributed control
2016 IEEE 55th Conference on Decision and Control (CDC)
Year: 2016 | Conference Paper |
Cited by: Papers (3)
In this paper, we focus on one of the motion coordination problems called attitude synchronization. We propose a continuous-time protocol to align the states of a network of agents evolving in the space of rotations SO(3). Our work is related to the Riemannian consensus, which is a general extension of classical consensus algorithms to Riemannian manifolds. The existing algorithms have the problem...Show More
Decentralized control of inverter networks for PV generation plants using real-time pricing strategy
Hikaru Akutsu;Kenji Hirata;Akihiro Ohori;Nobuyuki Hattori;Yoshito Ohta
2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
Global warming and the depletion of fossil fuels encourage installing a large scale PV (photovoltaic) system. The large scale PV system may cause a issue of the voltage rise at an interconnection point due to the reverse power flow. This paper investigates the distributed management problem of PCSs (power conditioning systems) which are used to interconnect the PV system to the power gird. We cons...Show More
Distributed active and reactive-power flow management for grid voltage maintenance using real-time pricing strategy
Takaya Ishii;Kenji Hirata;Akihiro Ohori;Nobuyuki Hattori;Yoshito Ohta
2015 54th IEEE Conference on Decision and Control (CDC)
Year: 2015 | Conference Paper |
Cited by: Papers (4)
This paper investigates the distributed voltage control problem of a distribution power grid in which a voltage rise occurs due to reverse load flow from distributed generators. A centralized operation to regulate the grid voltage becomes difficult, since the number of distributed generators involved is large. This paper considers a real-time pricing strategy and distributed optimization by each d...Show More
Modeling and linearization of systems under heavy-tailed stochastic noise with application to renewable energy assessment
2015 54th IEEE Conference on Decision and Control (CDC)
Year: 2015 | Conference Paper |
Cited by: Papers (5)
The Wiener process has provided lots of practically useful mathematical tools to model stochastic noise in many applications. However, this framework is not enough for modeling extremal events since many statistical properties of dynamical systems driven by Wiener processes are inevitably Gaussian. The goal of this work is to develop a framework that can represent heavy tailed distribution without...Show More
SNR limitation for amplitude-bounded noise in control over channels with feedback
2015 IEEE Conference on Control Applications (CCA)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
This paper shows a limitation of signal-to-noise ratio (SNR) for amplitude-bounded noise in control of linear discrete-time systems over channels with feedback. The SNR allowed in stabilizing the closed-loop system is shown to depend on the product of unstable poles of the plant. The control law for minimizing the SNR is constructed from state-feedback controller and two observers employed in the ...Show More
SNR limitation for feedback control systems with amplitude-bounded noise
2014 IEEE International Symposium on Intelligent Control (ISIC)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
This paper presents an SNR limitation in control under amplitude-bounded noise. The SNR of feedback link in control system is evaluated with respect to amplitude and minimized over all causal control laws. The minimum SNR is represented by the absolute value of the product of unstable poles of the plant. This index is known to describe performance limitations in various control problems. The optim...Show More
This paper proposes a novel approach for the controller design of a three-phase grid-tie inverter. First, the paper analyzes the input-output map of the system consisting of the cascade connection of a diagonal transfer function pre- and post-multiplied by DQ (direct-quadrature) and inverse DQ transformations which are prevalently used as a controller for systems with a rotating axis. It shows tha...Show More
This paper deals with the problem of model identification in continuous-time using subspace techniques. More precisely, a recently presented continuous-time predictor-based subspace identification algorithm which relies on a system transformation using the Laguerre basis is considered and a bootstrap-based approach to the problem of quantifying the variance error associated with the identified mod...Show More
System transformation of unstable systems induced by a shift-invariant subspace
2011 50th IEEE Conference on Decision and Control and European Control Conference
Year: 2011 | Conference Paper |
Cited by: Papers (5)
Given an inner function, the orthogonal complement of the corresponding shift invariant subspace induces a system transformation for linear time-invariant systems, which is a generalization of the lifting technique for the sample-data control and Hambo-transform in the sense the inner function is arbitrary. This paper extends the transformation for systems with unstable eigenvalues, and derives a ...Show More
Recursive continuous-time subspace identification using Laguerre filters
2011 50th IEEE Conference on Decision and Control and European Control Conference
Year: 2011 | Conference Paper |
Cited by: Papers (4)
This paper deals with the problem of model identification in continuous-time using subspace techniques. More precisely, a recently presented continuous-time predictor-based subspace identification algorithm which relies on a system transformation using the Laguerre basis is considered and a recursive counterpart is developed.Show More
Continuous-time system identification using compactly-supported filter kernels generated from Laguerre basis functions
49th IEEE Conference on Decision and Control (CDC)
Year: 2010 | Conference Paper |
Cited by: Papers (12)
This paper studies a continuous-time system identification method based on system transformation using generalized orthonormal basis functions, especially the Laguerre basis. It is known that the expansion of observation signals with Laguerre basis functions is useful for analyzing linear dynamical systems. This processing however, involves the calculation with infinite integral, hence, the proble...Show More
This paper considers control design problems for a robotic manipulator that is used for handling silicon semiconductor wafers, and how to reduce the throughput time of the total task of the manipulator. In this paper, we propose discontinuous switchings of controllers which are already designed and realize appropriate motions for each translatory and rotational motions. We show that such a control...Show More
An abstract linear programming approach to continuous-time LQ control for constrained systems
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference
Year: 2009 | Conference Paper |
This paper applies the abstract linear programming approach to the LQ control problem for continuous-time constrained systems. A gap-free dual problem is derived with the property that it can be approximated by finite dimensional convex programming. The structure of the dual variables is scrutinized. An example is included to show the limitation of control performance in the presence of right-half...Show More
Continuous-time system identification is desirable and necessary from several fine characteristics of continuous-time models. It was already shown that a continuous-time system is identified effectively by means of the transformation of the continuous-time system into a discrete-time system using the generalized orthonormal basis. This paper proposes the error analysis of continuous-time system id...Show More
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