#### Filter Results:

- Full text PDF available (14)

#### Publication Year

2001

2015

- This year (0)
- Last 5 years (11)
- Last 10 years (26)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

We propose a high-speed size and orientation invariant eye tracking method, which can acquire numerical parameters to represent the size and orientation of the eye. In this paper, we discuss that high tolerance in human head movement and real-time processing that are needed for many applications, such as eye gaze tracking. The generality of the method is… (More)

- Yuki Nishimura, Kanya Tanaka, Yuji Wakasa, Yuh Yamashita
- IEICE Transactions
- 2013

This paper proposes a simultaneous tuning method for PID controllers and dead-zone compensators based on particle swarm optimization. By the proposed algorithm, PID gains and dead-zone parameters are tuned online to minimize the error between the control output and the reference input. However, since ultrasonic motors intrinsically have a varying dead-zone… (More)

- Yuji WAKASA, Kanya TANAKA
- 2009

This paper proposes a decentralized model predictive control method for solving an optimal consensus problem, where a system consists of networked multiple subsystems and the states of all the subsystems converge to a common point. The problem is formulated as a convex optimization problem involving linear matrix inequalities, and then is solved by using an… (More)

- Yuji Wakasa, Mizue Arakawa, Kanya Tanaka, Takuya Akashi
- CDC
- 2008

This paper proposes a decentralized model predictive control method based on a dual decomposition technique. A model predictive control problem for a system with multiple subsystems is formulated as a convex optimization problem. In particular, we deal with the case where the control outputs of the subsystems have coupling constraints represented by linear… (More)

- Yuji Wakasa, Kanya Tanaka, Yuki Nishimura
- CACSD
- 2010

This paper proposes an online type of controller parameter tuning method by modifying the standard fictitious reference iterative tuning method and by utilizing the so-called recursive least-squares (RLS) algorithm, which can cope with variation of plant characteristics adaptively. As used in many applications, the RLS algorithm with a forgetting factor is… (More)

This paper proposes a distributed model predictive control method for solving an optimal consensus problem, where a system consists of networked multiple agents and the outputs of all agents converge to a common point. The problem is formulated as a convex optimization problem involving linear matrix inequalities, and then solved by using dual… (More)

- Shuichi Ohno, Yuji Wakasa, Makoto Nagata
- 2015 IEEE International Conference on Acoustics…
- 2015

Optimal error feedback filters for A/D converters of remote sensors in networked control systems are studied. It is shown that if the transfer function from the quantization error to the output of interest has a minimum phase, then its inverse is the optimal error feedback filter in terms of any kind of norms of errors. For general LTI systems, the design… (More)