26 research outputs found

    Environmental Justice in Solar Energy Development

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ™˜๊ฒฝ๋Œ€ํ•™์› ํ™˜๊ฒฝ๊ณ„ํšํ•™๊ณผ,2019. 8. ๊น€ํƒœํ˜•.Energy transition efforts in Korea are largely driven by increasing solar energy development, exemplified by the largest capacity plant planned in and around the inland sea of Saemangeum. As a space created through reclamation, Saemangeum has a complex history of severe environmental destruction and displacement of local fishers. As the group in the community who has the most intimate relationship with the marine ecosystem, fishers perception of the solar project has unique implications on its community acceptance. This study thus investigates Saemanguem fishers perspective on the solar project based on the environmental justice framework. In-depth interviews indicate that while fishers support renewable energy transition, they find this particular project unjust, for they are disproportionately burdened and marginalized from the decision-making processes. Much of the burdens are felt locally by a specific, vulnerable group in the community (fishers). The inland sea vessel fishers would experience immediate and direct impact on their fishery, for the floating panels would be installed in sites that compete with and reduce inland sea fishers fishing grounds. Fishers of all regions and practices, especially the inland sea hand-gatherers, would be burdened by disruption to their potential to recover from the reclamation-induced displacement. For years, fishers have been demanding for water quality and ecosystem restoration through free flow of seawater across the dike. However, the sites that were expected to function as key habitat for spawning and marine life are planned to be surrounded with impervious structure to protect the panels. While different fishers would be the exposed to slightly different types and severity of losses, their opinions on the distribution of outcome did not reflect their diversity; instead, they share strong beliefs against development in the sea. Although there are promises of financial return, the benefit-sharing mechanism is largely designed for the whole community and perceived as inaccessible and/or inapplicable to the fishers. Fishers losses cannot be compensated with investment profit because their concept of equitable distribution requires coexistence of fishery and solar energy in the shared space. This is because through the shared reclamation experiences, they collectively learned and created discourse that identifies their status of a social minority as the reason for repeatedly unequitable outcomes, which extends to future generation fishers as well. Indeed, fishers voices are systematically excluded from the decision-making processes. Even with a low-risk technology such as solar energy, this project resulted in serious burden to the less visible group because of its top-down process. Local context and specificity were disregarded in the absence of public discussion prior to the project authorization, and the information sessions and joint negotiations committee put in place in response to community backlash also provided only limited opportunities for participation. Of all, fishers right to participate was particularly oppressed based on the legal inability of some inland sea fishers to oppose development in the reclamation site. However, fishers were grouped into an undistinguishable, insignificant minority in the community, and thus even the rightful fishers were excluded. Such procedural injustice reaffirms the oppressive interaction with development authorities from the past, where they do not make the effort to rebuild nor maintain a communicative relationship with fishers. As such, fishers evaluate the very character of decisionmakers as authoritative and detached from the local context, and express both frustration and exhaustion in demanding for their right to participation. Ultimately, Saemanguem solar needs better justice considerations to be truly sustainable.Chapter 1. Introduction 1 Chapter 2. Literature Review 5 Chapter 3. Case Description 14 Chapter 4. Data and analytical framework 18 Chapter 5. Results 23 Chapter 6. Discussion 65 Chapter 7. Conclusion 70 Bibliography 74Maste

    A case study of Gyeonggi-do Uiwang Urban Park

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ™˜๊ฒฝ๋Œ€ํ•™์› ํ™˜๊ฒฝ์กฐ๊ฒฝํ•™๊ณผ, 2023. 8. ์†ก์˜๊ทผ.๋„์‹œ๊ณต๊ฐ„์˜ ์ฆ๊ฐ€๋กœ ์ธํ•œ ์ธ๊ตฌ ๋ฐ ๊ฒฝ์ œ๋ฐœ์ „๊ณผ ํ•จ๊ป˜ ๋„์‹œ ๋‚ด ๊ทธ๋ฆฐ์ธํ”„๋ผ์˜ ํ•„์š”์„ฑ์ด ์ง€์†์ ์œผ๋กœ ์ œ๊ธฐ๋˜๊ณ  ์žˆ๋‹ค. ๋„์‹œ ๊ณต์›์€ ์—ฌ๋Ÿฌ ํ™˜๊ฒฝ๋ฌธ์ œ๋“ค์ด ๋ฐœ์ƒํ•˜๋Š” ๋„์‹œ ๋‚ด์—์„œ ๊ฒฝ๊ด€์˜ ์งˆ์„ ์œ ์ง€์‹œํ‚ฌ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ƒํƒœ์ ์œผ๋กœ๋„ ์ค‘์š”ํ•œ ์ž‘์šฉ์„ ํ•œ๋‹ค. ํŠนํžˆ, ๋„์‹œ์ง€์—ญ์—์„œ ๊ฐ€์žฅ ๋งŽ์€ ๋…น์ง€ ๊ณต๊ฐ„์„ ์ œ๊ณตํ•˜๊ณ  ์žˆ๋Š” ์ˆ˜๋ชฉ์€ ๊ฑด๊ฐ•ํ•œ ์ƒํƒœ๊ณ„์˜ ์œ ์ง€์— ๋ฐ€์ ‘ํ•˜๊ฒŒ ์—ฐ๊ด€๋˜์–ด์žˆ๋Š” ์š”์†Œ์ด๋‹ค. ํ•˜์ง€๋งŒ ๋„์‹œ ๊ณต์›์ด ๊ฐ€์ง€๋Š” ์ด์šฉ ๋ฐ ์กฐ์„ฑ ๋ชฉ์ ์— ์˜ํ•ด ๋„์‹œ ๊ณต์› ๋‚ด์— ์žˆ๋Š” ์ƒํƒœ์„ฑ์€ ํฌ๊ฒŒ ๋‘๋“œ๋Ÿฌ์ง€์ง€ ์•Š์œผ๋ฉฐ, ์ƒํƒœ์  ํ˜„ํ™ฉ์„ ๋ฐ˜์˜ํ•œ ๊ฐ€์ด๋“œ๋ผ์ธ ๋˜ํ•œ ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ ๋„์‹œ ๊ณต์›์˜ ์ƒํƒœ์  ๊ธฐ๋Šฅ์„ ํฌ๊ฒŒ ๋‹ด๋‹นํ•˜๋Š” ์ˆ˜๋ชฉ์˜ ์ƒํƒœ์„ฑ์— ๋Œ€ํ•œ ์ ์ ˆํ•œ ํ‰๊ฐ€๊ฐ€ ์ด๋ฃจ์–ด์ ธ์•ผ ํ•˜๋ฉฐ, ์ด๋Š” ์ถ”ํ›„ ๋„์‹œ๊ณต์›์˜ ๊ด€๋ฆฌ์ ์ธ ์ธก๋ฉด์—์„œ๋„ ํ•„์š”ํ•œ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ๋„์‹œ ๋‚ด ๋…น์ง€๊ฐ€ ๊ฐ€์ง€๋Š” ํ™˜๊ฒฝ์ ์ธ ๊ฐ€์น˜์˜ ์ฆ๋Œ€์™€ ๋„์‹œ๋ฏผ์˜ ์š”๊ตฌ ์ถฉ์กฑ์„ ์œ„ํ•ด์„œ๋Š” ๋…น์ง€ ๋ชจ๋‹ˆํ„ฐ๋ง ๋ฐ ํ‰๊ฐ€๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์ˆ˜๋ชฉ์˜ ์ƒํƒœ์„ฑ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•œ ๊ธฐ์กด์˜ ๋ฐฉ๋ฒ•์€ ๋…ธ๋™ ๋ฐ ์‹œ๊ฐ„ ์ง‘์•ฝ์ ์ด์ง€๋งŒ, ๋ผ์ด๋‹ค์™€ ์ดˆ๋ถ„๊ด‘ ์ด๋ฏธ์ง€ ๊ฐ™์€ ๊ณ ํ•ด์ƒ๋„ ์ž๋ฃŒ์˜ ์‚ฌ์šฉ์€ ๋น ๋ฅด๊ณ  ์ •ํ™•ํ•œ ์ •๋ณด ์ทจ๋“๊ณผ ์ธก์ • ๊ฐ€๋Šฅ ๋ฒ”์œ„ ๋“ฑ์˜ ์ด์ ์œผ๋กœ ์ธํ•ด ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ๊ทน๋ณตํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•œ๋‹ค. ๋”์šฑ์ด, ๊ณ ํ•ด์ƒ๋„ ์ž๋ฃŒ๋Š” ์ž๋ฃŒ ์ทจ๋“ ๋ฐฉ์‹์ด๋‚˜ ์‹œ๊ธฐ ๋“ฑ์— ๋”ฐ๋ผ ์–ป์„ ์ˆ˜ ์žˆ๋Š” ์ •๋ณด์— ์ฐจ์ด๊ฐ€ ์žˆ์ง€๋งŒ, ์ด ์ž๋ฃŒ๋“ค์„ ์„œ๋กœ ์ค‘์ฒฉํ•จ์œผ๋กœ์จ ๋” ๋งŽ์€ ์ •๋ณด๊ฐ’๋“ค์„ ์–ป์„ ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ๋…น์ง€ ํ‰๊ฐ€๋ฅผ ์œ„ํ•ด ์ง€ํ‘œ๋ฅผ ์ด์šฉํ•œ ์—ฐ๊ตฌ๋“ค์ด ๋‹ค์ˆ˜ ์ง„ํ–‰๋˜์–ด์™”๋Š”๋ฐ, ์ด๋Š” ์‹œ๊ฐ„ ๋ฐ ๊ณต๊ฐ„์— ๋”ฐ๋ฅธ ๋…น์ง€ ๋ฐ ๊ตฌ์„ฑ์š”์†Œ์˜ ์ค‘์š”ํ•œ ๋ณ€ํ™”๋ฅผ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š” ๋ณ€์ˆ˜์ด๋ฉฐ, ๊ณต์› ๊ด€๋ฆฌ์— ๋Œ€ํ•œ ์˜์‚ฌ๊ฒฐ์ •์— ์ค‘์š”ํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณ ํ•ด์ƒ๋„ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋„์‹œ ๋‚ด์˜ ๋‹ค์–‘ํ•œ ๊ณต์›๋“ค์˜ ์ˆ˜๋ชฉ์„ ์ค‘์‹ฌ์œผ๋กœ ํ•œ ์ƒํƒœ์  ํŠน์„ฑ์— ๋Œ€ํ•ด ํŒŒ์•…ํ•˜๊ณ ์ž ํ•œ๋‹ค. ๋˜ํ•œ ํŠน์„ฑ๋“ค์„ ์„œ์—ดํ™”ํ•˜์—ฌ ๊ธฐ์กด ์ด์šฉ ๋ชฉ์ ์— ๋”ฐ๋ผ ๊ตฌ๋ถ„๋˜์—ˆ๋˜ ๊ณต์› ์œ ํ˜•์ด ์•„๋‹Œ ์ƒํƒœ์  ํŠน์„ฑ์— ๋”ฐ๋ผ ๊ณต์›์„ ๋ถ„๋ฅ˜ํ•˜์—ฌ ์ƒํƒœ์  ์ธก๋ฉด์—์„œ์˜ ๊ฐ€์น˜๋ฅผ ๋ฐœ๊ตดํ•ด๋ณด๊ณ ์ž ํ•œ๋‹ค. ์—ฐ๊ตฌ์˜ ๊ณต๊ฐ„์  ๋ฒ”์œ„๋Š” ์˜์™•์‹œ ๋‚ด์˜ ๋„์‹œ๊ณต์› 40๊ฐœ์ด๋‹ค. 40๊ฐœ ๊ณต์›์— ๋Œ€ํ•ด ๋‘ ์‹œ๊ธฐ์˜ ํ•ญ๊ณต LiDAR์™€ ์Šฌ๋žจ LiDAR, ๊ทธ๋ฆฌ๊ณ  ์ดˆ๋ถ„๊ด‘ ์ด๋ฏธ์ง€ ์ž๋ฃŒ๊ฐ€ ์ˆ˜์ง‘๋˜์–ด ์ •ํ•ฉ๋˜์—ˆ์œผ๋ฉฐ, ์„ ํ–‰์—ฐ๊ตฌ ๋ถ„์„์„ ํ†ตํ•œ 13๊ฐœ์˜ ์ง€ํ‘œ ์„ ์ • ๋˜ํ•œ ์ด๋ฃจ์–ด์กŒ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๊ฐœ๋ณ„ ์ˆ˜๋ชฉ์˜ ํŠน์„ฑ๊ฐ’ ๋ฐ ๊ณต์›๋ณ„ ํŠน์„ฑ๊ฐ’์„ ์ถ”์ถœํ•˜์˜€๊ณ , ์ถ”์ถœ๋œ ํŠน์„ฑ๊ฐ’์€ NMDS ๋ถ„์„์„ ๊ฑฐ์ณ 40๊ฐœ ๊ณต์›์„ 6๊ฐœ์˜ ๊ตฐ์ง‘์œผ๋กœ ๋‚˜๋ˆ„์—ˆ๋‹ค. ์ดํ›„ ๊ณต์›๋“ค ๊ฐ„์˜ ๊ฑฐ๋ฆฌ์— ๋”ฐ๋ฅธ ๋ถ„ํฌ์™€ 6๊ฐœ ๊ตฐ์ง‘๊ฐ„์˜ ์ฐจ์ด๊ฐ€ ์‹œ๊ฐ์ ์œผ๋กœ ํ‘œํ˜„๋˜์—ˆ์œผ๋ฉฐ, ๊ตฐ์ง‘๋ณ„ ํŠน์„ฑ ๋น„๊ต๋ฅผ ํ†ตํ•ด ๊ณต์› ๊ด€๋ฆฌ ๋ฐฉ์•ˆ์ด ์ œ์‹œ๋˜์—ˆ๋‹ค. 6๊ฐœ์˜ ๊ตฐ์ง‘์€ ์ƒํƒœ์  ๊ฐ€์น˜๊ฐ€ ๋†’์€ ๊ณ ๋ฆฝํ˜• ๊ณต์›์œผ๋กœ ์™ธ๋ถ€์ ์œผ๋กœ ์—ฐ๊ฒฐ์„ ํ†ตํ•ด ์ƒํƒœ์  ์ง•๊ฒ€๋‹ค๋ฆฌ์˜ ์—ญํ• ์ด ๊ธฐ๋Œ€๋˜๋Š” ๊ณต์›, ์ฃผ๋ณ€ ๋…น์ง€์™€ ์ธ์ ‘ํ•˜์—ฌ ์ž…์ง€์ ์ธ ์ž ์žฌ์„ฑ์€ ๋†’์ง€๋งŒ ๋‚ด๋ถ€์ ์œผ๋กœ๋Š” ์ƒํƒœ์„ฑ์ด ๋‚ฎ์•„ ์ฃผ๋ณ€์˜ ์ƒํƒœ์„ฑ์˜ ํ™œ์šฉ์ด ํ•„์š”ํ•œ ๊ณต์›, ๊ฑด๊ฐ•์„ฑ์ด ์–‘ํ˜ธํ•œ ๊ฑฐ๋ชฉ์ด ์ ์ • ๋ฐ€๋„๋กœ ์‹์žฌ๋˜์–ด ์ง€์†์ ์ธ ๋ชจ๋‹ˆํ„ฐ๋ง์œผ๋กœ ํ˜„์žฌ์˜ ์ƒํƒœ์  ํŠน์„ฑ์„ ์œ ์ง€ํ•ด์•ผ ํ•˜๋Š” ๊ณต์›, ๋†’์€ ์šธํ์œจ์„ ์กฐ์ ˆํ•จ์œผ๋กœ์จ ํ•˜์ธต ์‹์ƒ๋Œ€์˜ ๊ฑด๊ฐ•์„ฑ์„ ํ•จ๊ป˜ ๊ด€๋ฆฌํ•  ํ•„์š”์„ฑ์ด ์žˆ๋Š” ๊ณต์›, ๋น„๊ต์  ์ตœ๊ทผ์— ์‹์žฌ๋œ ์œ ๋ น๋ชฉ์ด ์–‘ํ˜ธํ•œ ์„ฑ์žฅ์„ธ๋ฅผ ๊ฐ€์ ธ ๋‹ค์–‘ํ•œ ์ˆ˜๋ น์˜ ์ˆ˜๋ชฉ๊ณผ ํ•˜์ธต์‹์ƒ์„ ํ†ตํ•œ ๋‹ค์ธต์ ์ธ ์‹์ƒ ๊ตฌ์กฐ๋ฅผ ํ•จ๊ป˜ ์ด๋ฃจ๋„๋ก ๊ด€๋ฆฌํ•ด์•ผ ํ•  ํ•„์š”์„ฑ์ด ์žˆ๋Š” ๊ณต์›์œผ๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ๋‹ค. ๋˜ํ•œ ๋†’์€ ์ƒํƒœ์  ํŠน์„ฑ๊ณผ ์ž ์žฌ์„ฑ์„ ๊ฐ€์ง€๋Š” ์‹œ์„ค์ด ์ค‘์š”์‹œ๋˜๋Š” ๊ณต์›์˜ ๋ฐœ๊ตด์„ ํ†ตํ•ด ์ž์—ฐ๊ณผ ์ด์šฉ๊ฐ์„ ๊ณ ๋ คํ•œ ๋”์šฑ ํšจ๊ณผ์ ์ธ ๋„์‹œ๊ณต์› ๊ด€๋ฆฌ ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณ ํ•ด์ƒ๋„ ์ž๋ฃŒ๋ฅผ ํ†ตํ•œ ์ˆ˜๋ชฉ ๋ฐ ๋…น์ง€์˜ ์ƒํƒœ์  ํŠน์„ฑ ์ž๋ฃŒ๋ฅผ ๋„์ถœ ๋ฐ ๊ด€๋ฆฌ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜๋ ค๋Š” ์‹œ๋„์— ์˜์˜๊ฐ€ ์žˆ๋‹ค. ํ–ฅํ›„, ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ณ ๋ คํ•˜์ง€ ๋ชปํ–ˆ๋˜ ์ˆ˜์ข…๋ณ„ ์ˆ˜๋ชฉ์˜ ์ƒํƒœ์ ์ธ ์ฐจ์ด, ์ˆ˜๋ชฉ์˜ ์ƒ์œก์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ํ™˜๊ฒฝ๋ณ€์ˆ˜์™€ ์ด์šฉ๊ฐ๋“ค์˜ ์ด์šฉ ๊ฐ•๋„ ๋“ฑ์— ๋”ฐ๋ฅธ ์˜ํ–ฅ์„ ๊ณ ๋ คํ•œ๋‹ค๋ฉด ๋”์šฑ ์ฒด๊ณ„์ ์ธ ๋„์‹œ๊ณต์›์˜ ๊ด€๋ฆฌ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค.With growing environmental challenges in city, urban parks maintain the quality of the landscape and play an important ecological role. In particular, trees are closely linked to the maintenance of healthy ecosystems. However, the tree-based ecology of urban parks is often overlooked, and there is also a lack of ecological guidelines. Hence, a thorough evaluation of tree ecology becomes imperative, particularly for the future management of urban parks. Green space monitoring and evaluation is necessary to increase the environmental value of urban green spaces and to meet the needs of urban residents. The high-resolution data such as LiDAR and hyperspectral imagery has an advantage with fast and accurate information acquisition and measurement range. Also to assess green spaces, many studies have used green indicators, which can measure important changes in green spaces and their components over time and space, and can provide important information for park management decisions. This study aims to identify the ecological characteristics of various parks in the city, mainly trees, using high-resolution data. In addition, by sequencing the characteristics, we aim to discover the value of ecological aspects by classifying parks according to ecological characteristics rather than park types that have been classified according to the purpose of use. The spatial scope of the study is 40 urban parks in Uiwang City. Airborne LiDAR from two seasons, slam LiDAR, and hyperspectral imagery data were collected and merged for 40 parks, and 13 indicators were selected through prior research analysis. Individual tree characteristics and park-specific characteristics were extracted, and were analyzed using NMDS to divide the 40 parks into six clusters. As a result, the distribution of the distance between the parks and the differences between the six clusters were visually represented, and the park management plan was suggested through the comparison of characteristics by cluster. Furthermore, through the identification of parks with high ecological characteristics and potential facilities, we proposed a more effective urban park management plan that considers both the natural environment and park users. This study is significant in that it attempts to derive ecological characteristics of trees and green areas through high-resolution data and suggest management plans. In the future, it is believed that a more systematic management plan for urban parks can be proposed by considering the ecological differences of trees by species, environmental variables that affect the growth of trees, and the effects of intensity of use by users, which were not considered in this study.Abstractโ…ฐ Table of Contents โ…ฒ Lists of Tables โ…ด Lists of Figures โ…ต Chapter 1. Introduction 1 1. Background and research purpose 1 1.1 Research background 1 1.2 Analysis of prior research on urban green space and vegetation evaluation using indicators 4 1.3 Research objectives 8 Chapter 2. Methods 10 1. Study flow 10 2. Study area 11 3. Study materials and preprocess 16 3.1 Data acquisition 16 3.2 Preprocess and fusion of LiDAR data 19 3.3 Preprocess of hyperspectral imagery data and crown area derivation 23 4. Indicator selection and calculation 24 4.1 Indicator selection 24 4.2 Tree attribute and indicator value calculation 27 5. Park type analysis through sequencing 38 Chapter 3. Results 40 1. Ecological traits by park type 40 2. Integrated distribution according to traits 50 Chapter 4. Discussion and Conclusion 54 1. Management based on the characteristics of park types 54 2. Ecological potential of original park types 57 3. Conclusions and limitations 60 References 63 Appendix A 75 Abstract in Korean 78์„

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Lyapunov-Krasovskii ์•ˆ์ • ์ •๋ฆฌ์—์„œ๋Š” ์‹œ๊ฐ„์ง€์—ฐ์ด ์—†๋Š” ๊ฒฝ์šฐ์— ๋Œ€ํ•œ Lyapunov ์•ˆ์ • ์ •๋ฆฌ์™€ ๋‹ฌ๋ฆฌ ๊ณผ๊ฑฐ์˜ ์ƒํƒœ ๋ณ€ํ™”์— ์ข…์†์ ์ธ ์‹œ๊ฐ„์ง€์—ฐ์‹œ์Šคํ…œ์˜ ํŠน์„ฑ์— ๋”ฐ๋ผ Lyapunov function์ด functional์˜ ํ˜•ํƒœ๋กœ ๋‚˜ํƒ€๋‚œ๋‹ค. ์‹ค์ œ ํ•ด์— ๊ฐ€๊นŒ์šด ์•ˆ์ •์„ฑ ์กฐ๊ฑด์„ ๊ตฌํ•˜๊ธฐ ์œ„ํ•œ ์—ฐ๊ตฌ๋Š” ํฌ๊ฒŒ ๋‘ ๊ฐ€์ง€ ๋ฐฉํ–ฅ์œผ๋กœ ๋ถ„ ๋ฅ˜ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ฒซ์งธ๋Š” ํšจ์œจ์ ์ธ Lyapunov functional์„ ์„ค๊ณ„ํ•˜๋Š” ๊ฒƒ์ด๋ฉฐ ๋‘˜์งธ๋Š” Lyapunov functional์˜ ๋„ํ•จ์ˆ˜ ๋˜๋Š” ์ „ํ–ฅ์ฐจ๋ถ„์˜ ์ƒํ•œ๊ฐ’์„ ์ •๋ฐ€ํ•˜๊ฒŒ ๊ตฌํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋Ÿฌํ•œ ๋‘ ๋ฐฉํ–ฅ์˜ ์—ฐ๊ตฌ์— ๋Œ€ํ•ด์„œ ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” Lyapunov-Krasovskii functional ์˜ ๋„ํ•จ์ˆ˜ ๋˜๋Š” ์ „ํ–ฅ์ฐจ๋ถ„์—์„œ ์œ ๋„๋˜๋Š” ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ์ ๋ถ„ํ•ญ ๋ฐ ํ•ฉํ•ญ์— ๋Œ€ํ•ด ์—ฌ์œ  ํ–‰๋ ฌ ์ ‘๊ทผ๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ๋”์šฑ ๋‚˜์€ Linear matrix inequality(LMI) ์กฐ๊ฑด๋“ค์„ ๊ตฌํ•œ๋‹ค. ์ œ์•ˆํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ์‹œ๋ณ€ ์‹œ๊ฐ„์ง€์—ฐ์„ ๊ฐ€์ง€๋Š” ์—ฐ์† ์‹œ๊ฐ„ ์„ ํ˜•์‹œ์Šคํ…œ๊ณผ ์ด์‚ฐ ์‹œ๊ฐ„ ์„ ํ˜•์‹œ์Šคํ…œ์˜ ์ƒˆ๋กœ์šด ์•ˆ์ •์„ฑ ์กฐ๊ฑด์„ ๊ตฌํ•˜๊ณ  ์ˆ˜์น˜์˜ˆ์ œ๋ฅผ ํ†ตํ•ด ์„ฑ๋Šฅ์„ ๊ฒ€์ฆํ•œ๋‹ค.This thesis proposes several numerical methods to deal with stability analysis problems of time-delay systems whose future evolution depend not only on their present states but also on their past states. In the real world, a time delay is a natural phenomenon in many dynamic systems including mechanical, chemical, engineering, and networked control systems. Unfortunately, time delays often cause poor control performance or even instability of the related systems and thus have attracted considerable attention in many research fields such as stability analysis, control synthesis, and filtering. Among the researches, a stability analysis problem is a fundamental one since numerical methods for stability analysis problems can be simply applied to synthesis problems by utilizing existing relaxation techniques. Motivated by the above observations, this thesis aims at deriving improved stability criteria for time-delay systems. More specifically, several effective techniques to develop less conservative stability criteria, say slack matrix based approaches, are proposed with a novel Lyapunov-Krasovskii functional (LKF), novel zero equalities, and novel integral/summation inequalities. Based on the proposed approaches, stability criteria for continuous- and discrete-time systems with time-varying delays are derived in terms of linear matrix inequalities (LMIs). In Chapter 1, backgrounds for stability analysis problems of time-delay systems are given with several practical models. First, definitions of stability and Laypunov-Krasovskii stability theorem, which is an essential tool to derive stability criteria, are introduced. Second, some recent researches for stability analysis problems of continuous- and discrete-time systems with time-delays are briefly summarized with the motivation and the concept of the slack matrix based approaches. Lastly, the organization of the thesis is given. In Chapter 2, two improved stability criteria for a linear system with time-varying delays are derived based on generalized zero equalities. A design of LKFs is a one of effective approaches for stability analysis of time-delay systems. Since there still exists a room for improvement of existing LKFs, this chapter proposes a new flexible LKF. Further, generalized zero equalities are proposed by combining slack matrices and system states. In Chapter 3, two improved stability criteria for a discrete-time system with time-varying delays are proposed based on generalized zero equalities. Differently from the previous chapter that proposed generalized zero equalities for the continuous-time system, this chapter considers discrete-time cases. Since a LKF for discrete-time systems consists of summation quadratic functions, the techniques in the previous chapter cannot be directly utilized. Thus, generalized zero equalities for summation instead of integration are proposed with a novel flexible LKF. In Chapter 4, three improved stability criteria for a linear system with time-varying delays are developed based on a novel integral inequality. In the field of stability analysis of time-delays systems, the trial on obtaining tight lower bounds for integral quadratic functions has been a key part reducing the conservatism of the stability criteria. Thus the Jensen inequality, the Moonโ€™s inequality, and a free-matrix-based integral inequality have been proposed. By extending the existing integral inequalities with slack matrices, this chapter proposes a general integral inequality, say a polynomials-based integral inequality. In Chapter 5, the polynomials-based integral inequality presented in the previous chapter is refined into an orthogonal-polynomials-based integral inequality. Then, three improved stability criteria for a linear system with additive time-varying delays are developed based on the refined integral inequality. In Chapter 6, three improved stability criteria for a discrete-time system with time-varying delays are derived based on a polynomials-based summation inequality. This chapter concerns the discrete-time counter parts of those of Chapter 4

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