Joe Imae

Publication Activity (10 Years)

Years Active: 2002-2015
Publications (10 Years): 1

Top Topics

Markov Decision Process

Top Venues

Publications

Joe Imae, Masakatsu Kawanoue, Tomoaki Kobayashi
Optimal feedback control of nonlinear systems with a finite horizon based on HJ equations. ICIT (2015)
Guisheng Zhai, Shohei Okuno, Joe Imae, Tomoaki Kobayashi
A New Consensus Algorithm for Multi-Agent Systems via Decentralized Dynamic Output Feedback. J. Intell. Robotic Syst. 63 (2) (2011)
Guisheng Zhai, Junya Takeda, Joe Imae, Tomoaki Kobayashi
An approach to achieving consensus in nonholonomic systems. ISIC (2010)
Guisheng Zhai, Yoshiyuki Miyoshi, Joe Imae, Tomoaki Kobayashi
Switching controller design for nonholonomic four-wheeled vehicles via finite-time stabilization method. ICONS (2009)
Guisheng Zhai, Junya Takeda, Tomoaki Kobayashi, Joe Imae
A new definition of formation with an algorithm. ICONS (2009)
Guisheng Zhai, Shohei Okuno, Joe Imae, Tomoaki Kobayashi
A matrix inequality based design method for consensus problems in multi-agent systems. Int. J. Appl. Math. Comput. Sci. 19 (4) (2009)
Guisheng Zhai, Shohei Okuno, Joe Imae, Tomoaki Kobayashi
An extended consensus algorithm for multi-agent systems. CDC (2009)
Guisheng Zhai, Shohei Okuno, Joe Imae, Tomoaki Kobayashi
A new consensus algorithm for multi-agent systems via dynamic output feedback control. CCA/ISIC (2009)
Joe Imae, Koichiro Yoshimura, Guisheng Zhai, Tomoaki Kobayashi
Real-time optimisation for parallel-parking control of four-wheeled vehicles. Int. J. Model. Identif. Control. 6 (3) (2009)
Guisheng Zhai, Xuping Xu, Joe Imae, Tomoaki Kobayashi
Qualitative Analysis of Switched Discrete-Time Descriptor Systems. ISIC (2007)
Guisheng Zhai, Isatada Matsune, Joe Imae, Tomoaki Kobayashi
A Note on Multiple Lyapunov Functions and Stability Condition for Switched and Hybrid Systems. CCA (2007)
Joe Imae, Morihiko Nagata, Tomoaki Kobayashi, Guisheng Zhai
Some Properties of Algorithmic Control for Real-time Optimization. ICARCV (2006)
Guisheng Zhai, Derong Liu, Joe Imae, Tomoaki Kobayashi
Lie algebraic stability analysis for switched systems with continuous-time and discrete-time subsystems. IEEE Trans. Circuits Syst. II Express Briefs (2) (2006)
Tomoaki Kobayashi, Junichi Maenishi, Joe Imae, Guisheng Zhai
Real Time Control for 4-wheeled Vehicles via Algorithmic Control Incorporating Computation Time. ICARCV (2006)
Joe Imae, Kazutaka Yoshimizu, Tomoaki Kobayashi, Guisheng Zhai
Algorithmic control for real-time optimization of nonlinear systems: Simulations and experiments. CDC/ECC (2005)
Guisheng Zhai, Derong Liu, Joe Imae, Tomoaki Kobayashi
Stability analysis for switched systems with continuous-time and discrete-time subsystems: a Lie algebraic approach. ISCAS (4) (2005)
Guisheng Zhai, Hai Lin, Xuping Xu, Joe Imae, Tomoaki Kobayashi
Analysis of switched normal discrete-time systems. ACC (2005)
Guisheng Zhai, Bo Hu, Joe Imae, Tomoaki Kobayashi
A unified procedure for locating the stabilizable regions of two-dimensional switched systems. ISCAS (3) (2005)
Guisheng Zhai, Hideaki Kondo, Joe Imae, Tomoaki Kobayashi
Hybrid Static Output Feedback Stabilization of Two-Dimensional LTI Systems: A Geometric Method. CDC/ECC (2005)
Joe Imae, Yoshiteru Kikuchi, Nobuyuki Ohtsuki, Tomoaki Kobayashi, Guisheng Zhai
Design of nonlinear control systems by means of differential genetic programming. CDC (2004)
Joe Imae, Nobuyuki Ohtsuki, Yoshiteru Kikuchi, Tomoaki Kobayashi
Minimax control design for nonlinear systems based on genetic programming: Jung's collective unconscious approach. Int. J. Syst. Sci. 35 (13-14) (2004)
Joe Imae, Hiroki Sagami, Tomoaki Kobayashi, Guisheng Zhai
Nonlinear control design method based on state-dependent Riccati equation (SDRE) via quasi-Newton method. CDC (2004)
Joe Imae, Nobuyuki Ohtsuki, Yoshiteru Kikuchi, Tomoaki Kobayashi
A minimax control design for nonlinear systems based on genetic programming: Jung's collective unconscious approach. IEEE Congress on Evolutionary Computation (2003)
Joe Imae, Yoshiteru Kikuchi, Nobuyuki Ohtsuki, Tomoaki Kobayashi
A nonlinear control system design based on HJB/HJI/FBI equations via differential genetic programming approach. IEEE Congress on Evolutionary Computation (2003)
Joe Imae, Satoru Nakatani, Junyu Takahashi
A design method for optimal controllers of minimax problems: a genetic programming approach. ACC (2003)
Joe Imae, Kazubiro Inoue
A unified approach to computational methods of nonlinear optimal control problems with possible jumps in states. ACC (2002)