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Ho Jae Lee
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Journal Articles
- 2024
- [j28]Sumin Hwangbo, J. Jay Liu, Jun-Hyung Ryu, Ho Jae Lee, Jonggeol Na:
Production rescheduling via explorative reinforcement learning while considering nervousness. Comput. Chem. Eng. 186: 108700 (2024) - 2023
- [j27]Ho Jae Lee:
Robust observer-based output-feedback control for epidemic models: Positive fuzzy model and separation principle approach. Appl. Soft Comput. 132: 109802 (2023) - [j26]Ho Jae Lee:
Positivity and separation principle for observer-based output-feedback disturbance attenuation of uncertain discrete-time fuzzy models with immeasurable premise variables. J. Frankl. Inst. 360(12): 8486-8505 (2023) - 2022
- [j25]Ho Jae Lee:
Robust static output-feedback vaccination policy design for an uncertain SIR epidemic model with disturbances: Positive Takagi-Sugeno model approach. Biomed. Signal Process. Control. 72(Part): 103273 (2022) - 2021
- [j24]Ji Hyun Moon, Ho Jae Lee:
Sampled-data control of underwater gliders: digital redesign approach. Int. J. Control 94(5): 1188-1200 (2021) - [j23]Jaejun Lee, Ji Hyun Moon, Ho Jae Lee:
Robust ℋ∞ and ℒ∞-ℒ∞ sampled-data dynamic output-feedback control for nonlinear system in T-S form including singular perturbation. Int. J. Syst. Sci. 52(7): 1315-1328 (2021) - [j22]Jaejun Lee, Ji Hyun Moon, Ho Jae Lee:
Continuous-time synthesizing robust sampled-data dynamic output-feedback controllers for uncertain nonlinear systems in Takagi-Sugeno form: A descriptor representation approach. Inf. Sci. 565: 456-468 (2021) - 2020
- [j21]Ji Hyun Moon, Hyoung Bin Kang, Ho Jae Lee:
Robust H∞ and L∞-L∞ sampled-data fuzzy static output-feedback controllers in Takagi-Sugeno form for singularly perturbed nonlinear systems with parametric uncertainty. J. Frankl. Inst. 357(13): 8508-8528 (2020) - 2019
- [j20]Ji Hyun Moon, Ho Jae Lee:
Graph Laplacian-based leaderless consensus for multi-agent systems in T-S form. Fuzzy Sets Syst. 368: 119-136 (2019) - 2018
- [j19]Hyoung Bin Kang, Ho Jae Lee:
Sampled-data static output-feedback control for nonlinear systems in T-S form via descriptor redundancy. Neurocomputing 318: 1-6 (2018) - 2016
- [j18]Sung Chul Jee, Ho Jae Lee:
Sampled-data H_/H∞ fault detection and isolation for nonlinear systems in T-S form: An approximate model approach. Fuzzy Sets Syst. 297: 112-127 (2016) - [j17]Do Wan Kim, Ho Jae Lee:
Direct discrete-time design approach to robust ℋ∞ sampled-data observer-based output-feedback fuzzy control. Int. J. Syst. Sci. 47(1): 77-91 (2016) - [j16]Ho Jae Lee, Do Wan Kim:
Performance-recoverable intelligent digital redesign for fuzzy tracking controllers. Inf. Sci. 326: 350-367 (2016) - [j15]Sung Chul Jee, Ho Jae Lee:
H-/H∞ fault detection and isolation for nonlinear systems with state delay in T-S form. J. Frankl. Inst. 353(9): 2030-2056 (2016) - 2014
- [j14]Ji Hyun Moon, Ho Jae Lee:
Digital redesign of observer-based output-feedback tracking controllers: enhancement. Int. J. Control 87(11): 2420-2429 (2014) - 2012
- [j13]Do Wan Kim, Ho Jae Lee:
Sampled-data observer-based output-feedback fuzzy stabilization of nonlinear systems: Exact discrete-time design approach. Fuzzy Sets Syst. 201: 20-39 (2012) - 2011
- [j12]Ho Jae Lee, Leang-San Shieh, Heidar A. Malki, Do Wan Kim:
Pulse-width-modulated feedback control of nonlinear systems: optimal linearization-based digital redesign approach. Int. J. Gen. Syst. 40(3): 283-300 (2011) - 2010
- [j11]Do Wan Kim, Ho Jae Lee:
Controlling linear systems with nonlinear perturbations under sampled-data output feedback: digital redesign approach. Int. J. Control 83(8): 1718-1726 (2010) - [j10]Do Wan Kim, Ho Jae Lee, Masayoshi Tomizuka:
Fuzzy Stabilization of Nonlinear Systems under Sampled-Data Feedback: An Exact Discrete-Time Model Approach. IEEE Trans. Fuzzy Syst. 18(2): 251-260 (2010) - 2009
- [j9]Do Wan Kim, Ho Jae Lee:
Stability connection between sampled-data fuzzy control systems with quantization and their approximate discrete-time model. Autom. 45(6): 1518-1523 (2009) - [j8]Ho Jae Lee, Do Wan Kim:
Fuzzy Static Output Feedback May Be Possible in LMI Framework. IEEE Trans. Fuzzy Syst. 17(5): 1229-1230 (2009) - 2008
- [j7]Ho Jae Lee, Do Wan Kim:
Intelligent digital redesign revisited: Approximate discretization and stability limitation. Fuzzy Sets Syst. 159(23): 3221-3231 (2008) - 2006
- [j6]Ho Jae Lee, Jin Bae Park, Young Hoon Joo:
Robust load-frequency control for uncertain nonlinear power systems: A fuzzy logic approach. Inf. Sci. 176(23): 3520-3537 (2006) - [j5]Ho Jae Lee, Jin Bae Park, Young Hoon Joo:
Further refinement on LMI-based digital redesign: delta-operator approach. IEEE Trans. Circuits Syst. II Express Briefs 53-II(6): 473-477 (2006) - 2005
- [j4]Ho Jae Lee, Jin Bae Park, Young Hoon Joo:
Digitalizing a Fuzzy Observer-Based Output-Feedback Control: Intelligent Digital Redesign Approach. IEEE Trans. Fuzzy Syst. 13(5): 701-716 (2005) - 2004
- [j3]Ho Jae Lee, Hagbae Kim, Young Hoon Joo, Wook Chang, Jin Bae Park:
A new intelligent digital redesign for T-S fuzzy systems: global approach. IEEE Trans. Fuzzy Syst. 12(2): 274-284 (2004) - 2003
- [j2]Ho Jae Lee, Jin Bae Park, Young Hoon Joo:
Comments on "Output tracking and regulation of nonlinear system based on Takagi-Sugeno fuzzy model". IEEE Trans. Syst. Man Cybern. Part B 33(3): 521-523 (2003) - 2001
- [j1]Ho Jae Lee, Jin Bae Park, Guanrong Chen:
Robust fuzzy control of nonlinear systems with parametric uncertainties. IEEE Trans. Fuzzy Syst. 9(2): 369-379 (2001)
Conference and Workshop Papers
- 2005
- [c1]Moon Hwan Kim, Jin Bae Park, Young Hoon Joo, Ho Jae Lee:
Design of T-S Fuzzy Classifier via Linear Matrix Inequality Approach. FSKD (1) 2005: 406-415
Informal and Other Publications
- 2024
- [i2]Ho Jae Lee, Seungwoo Hong, Sangbae Kim:
Integrating Model-Based Footstep Planning with Model-Free Reinforcement Learning for Dynamic Legged Locomotion. CoRR abs/2408.02662 (2024) - [i1]Se Hwan Jeon, Seungwoo Hong, Ho Jae Lee, Charles Khazoom, Sangbae Kim:
CusADi: A GPU Parallelization Framework for Symbolic Expressions and Optimal Control. CoRR abs/2408.09662 (2024)
Coauthor Index
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last updated on 2024-09-26 01:53 CEST by the dblp team
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