2. 2
Necessity of the Intelligent
Networked Systems
Problems:
– According to the estimation of United Nations, urban population
will grow to the double of the current residents in the next 30
years.
– The limited capacity of the roads and
parking spaces will arise as a critical
problem.
Solutions:
– One-way vehicle sharing Lack of vehicles in some stations
and abundance in others
– Driverless cars Design the
autonomous driver transportation
network
3. 3
Proposed Solution for Multi-Agent
System
Multi-Agent System
• Consensus Problem
Control Allocation
• Online optimization
• Redundant control inputs
with constraints
Followers Allocation:
• Leader completely depends on
the followers
• By using the control allocation
technique, leader can guide the
followers in order to minimize
the convergence time
Old Conception:
• Leader acts independently
• Followers imitate the
leader’s behaviour
4. 4
Followers Allocation in
Transportation Network
Followers Allocation
• Centralized solution
Computer Network
• Decentralized solution
Decentralized Network
Optimization method
• Decentralized
Optimization (using a
dynamic cost function
Table)
• Minimizing the total cost
function for each follower
• Handling the network
constraints
5. 5
Appling Followers Allocation in
Transportation Network
Station:
• Acts as the leader
• Based on the final destination,
sends the customers to the
neighbour stations
Driverless Car:
• Acts as the follower
Some of the main advantages:
• Rebalancing empty vehicles
• Choosing the travel path for passenger in order to
Reduce the time of trip
Decrease traffic volume
Save fuel and consequently cost
6. 6
Followers Allocation in Computer
Network
Since the fundamental of the proposed method has many
similarities with computer network, the proposed method with
some modifications can be defined as a new routing protocol.
1-
2-
3- Defining a proper cost function
Main advantages are reducing Bandwidth usage and delay
