In this dissertation three robust control strategies are proposed for a class of multi-input multi-output dynamic systems with matched or mismatched perturbations. Firstly, an adaptive variable structure observer and controller are introduced for solving the regulation problems, where some state variables are not measurable. By utilizing adaptive mechanisms in the design of sliding mode controller, one can enable the controlled systems not only to generate a reaching mode in finite time, but also to suppress the mismatched perturbations during the sliding mode. Secondly, the design of adaptive sliding mode controllers with application to robot manipulators is presented to solve the tracking problems. The dynamic equations of the controlled systems contain a perturbed leading coefficient matrix and can be either positive definite or negative definite. The asymptotical stability of the controlled systems will be attained if the proposed control scheme is employed. Thirdly, a design methodology of adaptive sliding mode controller based on T-S fuzzy model is proposed to solve tracking problems. It is shown that the trajectories of the controlled systems can be driven into a designated sliding surface in finite time, and the property of asymptotical stability is also guaranteed. All these three control schemes are designed by means of Lyapunov stability theorem. Each control scheme contains three parts. The first part is designed for eliminating measurable feedback signals. The second part is used for adjusting the convergent rate of state variables (or tracking errors) of the controlled system. The third part is the adaptive control mechanism, which is used to adapt some unknown constants of the least upper bounds of perturbations, so that the knowledge of the least upper bounds of matched or mismatched perturbations are not required. Several numerical examples and an application of controlling robot manipulator are demonstrated for showing the feasibility of the proposed control methodologies.

The main focus of about this thesis is to design an anti-interference depth controller for underwater remotely operated vehicles(ROV). Since the underwater remotely operated vehicle experiences combination effects of nonlinearities, uncertain and time-varying parameters, and unknown disturbances, demand of robustness for the controller needs to be extremely strict. Therefore, an anti-interference depth controller using PID control and Sliding-mode control is developed. The Matlab simulation tool is employed to simulate the depth control performance of the behavior of the ROV. The simulation is also considered about the model uncertainty of ROV.

Based on the Information Integration Theory, the current study investigates whether students¡¦ integration model of ticket fare and total travelling time difference will change when facing different safety conditions after they join the trials held by the Kaohsiung Rapid Transit Company (KRTC). The result indicates that the students¡¦ integration model of ticket fare and total travelling time difference is the ¬Û¥[ model. By using a different model of discussion, the result of my questionnaire shows that the linear transportation behavior found by traditional Mode Choice Model can be maintained. The result of data analysis suggests that KRTC has to adopt different strategies to enhance students¡¦ willingfulness to change their vehicles for transportation. It is shown that students add the scale values of ticket fare and total travelling time difference to motivate them to change their vehicles for transportation. Therefore, if we want to enhance the willingness to change their transporting vehicles, it is more effective to provide a solution with a higher scale value. In this study, students' scale value of total travelling time difference was higher than ticket price. Hence, if KRTC wants to enhance their willingfulness to change transporting vehicles, it is a more effective strategy to devise a way to decrease total travelling time.

It happens quite often that most Business Intelligence System (BIS) projects are never near to their completion. While there are many reasons for such high failure rate, the major unsuccessful factors of BIS result in ¡§Member¡¨, ¡§Organization¡¨, and ¡§Technique¡¨. Especially, it seems there is not yet a model and methodology gluing together the interrelationship among people, source of information, and BIS. This thesis aims to assist the enterprise by defining a model of Architecture-Oriented Analysis of Business Intelligence Systems¡¦ Requirement which helps analyze the system with ease. The model emphasizes on the structure behavior coalescence. Using this approach of structure behavior coalescence, developers would devise and adjust the BIS more flexible and adaptable. Architecture-Oriented Analysis-Model is a model which includes many viewpoints, which help analyze several problems caused by mixed BIS products. The main purpose of this research is to achieve Business Intelligence Systems¡¦Requirement through the establishment of the model, and raise the strike-rate and efficiency on the construction of any BIS.

With increasing globalism, most firms are expanding operations into many different countries. Company operations are not single location; the plants, warehouses, and distribution centers are located in terms of the proximity of the resource base and the cost benefits derived from the most advantageous locations. Multinational enterprises were resulted because of markets of products in a specific nation were too mature to increase the sales volume. Firms could no longer gain profits from domestic markets and revenue from the domestic markets were shrinking. The development of a multinational enterprise must be relevant to its different foreign entry modes. Its selection is a complex process in that the firm must evaluate multiple factors, such as the extent of the risk of investing in a nation and how much the firm is involved in the host countries. The research aim of this thesis is to compare the cases ACER of Taiwan and Samsung Electronics co. (SEC) of Korea in terms of how each firm dealt with barriers to entry in the electronics industry and thus become strong competitors in the world. The thesis also focuses on the selection of foreign entry mode to achieve success in business expansion. This research focuses on the internationalization process of Acer, a Taiwanese firm and Samsung Electronics Co. (SEC), a Korean firm, in European markets.

Microchip¡¦s enter in 1996 pioneered the affluence of electronic firms¡¦ investments. Since then, investment environments of Taiwan pose as a luring target for foreign electronic firms, they also entered Taiwan gradually. Clustering effect is the main factor affecting Multinational Corporations¡¦ entry decision; they entered Taiwan due to this reason as well. The promising industry was thus created. Due to similarities in culture and language between Taiwan and PRC, Taiwanese firms serve PRC as the target when considering expanding strategies. Among them, electronic firms claim a large proportion. Clustering effects are also found in several coastal cities in PRC, as a consequence. It¡¦s expected that the history repeats itself in PRC as it did in Taiwan. Previous studies served situations evaluated by US electronic firms which were willing to enter Taiwan as the base, and discussed their entry modes. This thesis aims at discussing subsidiaries in Taiwan in order to understand under which circumstances of capacity or environment would result in which entry modes. This research conducted empirical studies on gathered data, and listed several measurable variables as the data used in analyses. This study categorizes entry strategy into wholly owned and partly owned, and discovered that foreign experience factor significantly affects the entry modes while other factors bear less significant explanatory powers. This research is suggesting that electronic firms could advisedly think over more factors when considering entering Taiwan or PRC, and evaluate firms and market conditions of target country in order to find the best suitable entry mode.

Taiwanese Enterprises gradually become internationalized and invest foreign markets. The thinking of business global operation is no longer on one country, but on multi-nations. Companies may have different factors of the motivation and background to foreign direct investment in different countries. Each country¡¦s culture and business environment has its uniqueness. Another reason of global industries changing is that the developing countries in the past have become new economic systems. Mostly new economic governments adopt open economic policies and encourage foreign investment. Therefore, these new economic countries are often taken into account by foreign direct investment. The purpose of this study is discussed how Taiwanese enterprises determine their entry mode in India market. This study is built the framework under three dimensions which are environment, strategy and resource. For the moment, there are around 28 Taiwanese enterprises have invested in India market. This study is analyzed Taiwanese cases by questionnaire survey, telephone and in-person interviews to understand the import factors of entry modes in India market for Taiwanese enterprises. Research data analysis is strengthened by qualitative discussion and enhanced research reliabilities through both case studies and questionnaire surveys. The question items and study framework are designed from the cases of Taiwanese enterprises and industrial experts¡¦ opinions. It is found in this study that Taiwanese enterprises tend to adopt greenfield strategy as entry mode to India market from the perspectives of environment, strategy, and resource. However, if the purpose of foreign investment of Taiwanese companies is to get the local market, they will tend to adopt joint-venture as entry mode. Finally, the study is to explore entry mode in India market for Taiwanese enterprises based on the strategic perspectives to have an integrated analysis. This makes contributions to who are willing to invest in India market.

In this thesis, we focus on mobile networks consist of a single base station as the source transceiver, and multiple mobile stations as the receiving party. Applying energy management on multicasting between the base station and mobile stations, network users can conserve the energy consumed while wating for subscribing data contents to come. We referenced the SMBC-D (Scheduling over Multiple Broadcast Channels--the dynamic model) algorithm proposed by R. Cohen et al., grouping users with high request similarity, partitioning channels with a time-division duplexing scheme, and putting mobile stations into sleep mode during channels that include no subscribing data contents. Since SMBC-D statically schedules fixed size channels, groups request fewer data items will idle their channels after finishing their transmision, while groups request more data items take longer time to finish their transmission. For such problem, we propose a heuristic algorithm that makes use of these idle channels by combining adequate consecutive idle channels, to improve channel utility, and lower the overall energy consumed. We also process relevant computer simulations, verifying that our method has better performance.

WiMAX (Worldwide Interoperability for Microwave Access) provides wide transmission range and broadband network services. However, in IEEE 802.16 standard, there is no specific definition for SS (Subscriber Station) to select an optimal route in a mesh-based WiMAX network. In this thesis, we propose an Optimal Route Selection Scheme (ORSS) for SS to select a route to its BS (Base Station). ORSS basically considers three influential factors, the bandwidth SS to be assigned, the number of interference nodes around SS, and the hop counts to BS. We also investigate QoS (Quality of Service) issue in a mesh-based WiMAX network; an SS transferring the rtPS traffic type will share bandwidth with the neighboring SS of the same level that transmit the same traffic type. To ensure the selected route that can meet the bandwidth requirements of rtPS and the delay constraints, we estimate the average transmission delay from SS to BS. For the purpose of evaluation, we establish a mathematical model to analyze the proposed ORSS and discuss the impact of varying network parameters on the successful rate of route selection. Through the Matlab simulation, we validate our mathematical model. The simulation results demonstrate that our ORSS, in comparison to a previous work, is more effective in ensuring the delay constraints when selecting a route to transfer rtPS traffic.

Based on the Lyapunov stability theorem, an adaptive variable structure observer and a controller are proposed in this thesis for a class of mismatched perturbed multi-input multi-output (MIMO) dynamic systems with unmeasurable states to solve regulation and tracking problems. In order to estimate the unmeasurable states, a design methodology of variable structure observers is presented first. Then the controller is designed so that the trajectories of the controlled systems are able to reach sliding surface in a finite time. Some adaptive mechanisms are embedded in the sliding surface function and sliding mode controllers, so that not only the mismatched perturbations are suppressed effectively during the sliding mode, but also the information of upper bounds of some perturbations are not required. When the controlled system is the sliding mode, the stability or asymptotical stability is guaranteed. A numerical example and a practical example are given to demonstrate the feasibility of the proposed design technique.